Yue Zhang

Orcid: 0000-0002-5214-2268

Affiliations:
  • Westlake University, School of Engineering, Hangzhou, China
  • Singapore University of Technology and Design, Singapore (2012 - 2018)
  • Oxford University, UK (PhD)


According to our database1, Yue Zhang authored at least 435 papers between 2007 and 2024.

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Bibliography

2024
A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol., June, 2024

Gradual Syntactic Label Replacement for Language Model Pre-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Lost in Context? On the Sense-Wise Variance of Contextualized Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Cross-domain Constituency Parsing by Leveraging Heterogeneous Data.
J. Artif. Intell. Res., 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
IEEE Data Eng. Bull., 2024

Can Language Models Learn to Skip Steps?
CoRR, 2024

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch.
CoRR, 2024

Keys to Robust Edits: from Theoretical Insights to Practical Advances.
CoRR, 2024

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models.
CoRR, 2024

Gated Slot Attention for Efficient Linear-Time Sequence Modeling.
CoRR, 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
CoRR, 2024

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.
CoRR, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
CoRR, 2024

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models.
CoRR, 2024

GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels.
CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.
CoRR, 2024

Break the Chain: Large Language Models Can be Shortcut Reasoners.
CoRR, 2024

Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models.
CoRR, 2024

Logic Agent: Enhancing Validity with Logic Rule Invocation.
CoRR, 2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
CoRR, 2024

Knowledge Conflicts for LLMs: A Survey.
CoRR, 2024

Improving Cross-lingual Representation for Semantic Retrieval with Code-switching.
CoRR, 2024

SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning.
CoRR, 2024

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models.
CoRR, 2024

Potential and Challenges of Model Editing for Social Debiasing.
CoRR, 2024

Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data.
CoRR, 2024

AI-driven platform for systematic nomenclature and intelligent knowledge acquisition of natural medicinal materials.
CoRR, 2024

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Narrowing the Gap between Vision and Action in Navigation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding In-Context Learning from Repetitions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Empirical Prior for Text Autoencoders.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Semformer: Transformer Language Models with Semantic Planning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge Conflicts for LLMs: A Survey.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Survey on Open Information Extraction from Rule-based Model to Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ECON: On the Detection and Resolution of Evidence Conflicts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PDF-to-Tree: Parsing PDF Text Blocks into a Tree.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

NavHint: Vision and Language Navigation Agent with a Hint Generator.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

What Have We Achieved on Non-autoregressive Translation?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MAGE: Machine-generated Text Detection in the Wild.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Modularized Pre-Training for End-to-End Task-Oriented Dialogue.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A General Contextualized Rewriting Framework for Text Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

OpenFact: Factuality Enhanced Open Knowledge Extraction.
Trans. Assoc. Comput. Linguistics, 2023

Distantly supervised relation extraction with KB-enhanced reconstructed latent iterative graph networks.
Knowl. Based Syst., 2023

Alleviating Hallucinations of Large Language Models through Induced Hallucinations.
CoRR, 2023

Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace.
CoRR, 2023

GLoRE: Evaluating Logical Reasoning of Large Language Models.
CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR, 2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR, 2023

DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation.
CoRR, 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.
CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR, 2023

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms.
CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.
CoRR, 2023

Deepfake Text Detection in the Wild.
CoRR, 2023

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance.
CoRR, 2023

Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities.
CoRR, 2023

Evaluating Open Question Answering Evaluation.
CoRR, 2023

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion.
CoRR, 2023

LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4.
CoRR, 2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning.
CoRR, 2023

A Curriculum View of Robust Loss Functions.
CoRR, 2023

GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization.
CoRR, 2023

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4.
CoRR, 2023

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation.
CoRR, 2023

Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding.
CoRR, 2023

Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions.
Proceedings of the ACM Web Conference 2023, 2023

MA-MRC: A Multi-answer Machine Reading Comprehension Dataset.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Token-level Fitting Issues of Seq2seq Models.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TRAMS: Training-free Memory Selection for Long-range Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LogiCoT: Logical Chain-of-Thought Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LLM-enhanced Self-training for Cross-domain Constituency Parsing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-Autoregressive Document-Level Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-autoregressive Text Editing with Copy-aware Latent Alignments.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Consistency Regularization Training for Compositional Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Measuring Consistency in Text-based Financial Forecasting Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning to Generalize for Cross-domain QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Explicit Syntactic Guidance for Neural Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dual Cache for Long Document Neural Coreference Resolution.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Target-Side Augmentation for Document-Level Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

VLN-Trans: Translator for the Vision and Language Navigation Agent.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GLUECons: A Generic Benchmark for Learning under Constraints.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Optimizing Attention for Sequence Modeling via Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022

Balancing Precision and Recall for Neural Biomedical Event Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

SemGloVe: Semantic Co-Occurrences for GloVe From BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Label Attention Network for Structured Prediction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Advancing Chinese Event Detection via Revisiting Character Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

End-to-end event factuality prediction using directional labeled graph recurrent network.
Inf. Process. Manag., 2022

News-driven stock prediction via noisy equity state representation.
Neurocomputing, 2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis.
CoRR, 2022

Can Offline Reinforcement Learning Help Natural Language Understanding?
CoRR, 2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.
CoRR, 2022

CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser.
CoRR, 2022

Cross-domain Generalization for AMR Parsing.
CoRR, 2022

Pre-Training a Graph Recurrent Network for Language Representation.
CoRR, 2022

Exploiting Sentiment and Common Sense for Zero-shot Stance Detection.
CoRR, 2022

Open Information Extraction from 2007 to 2022 - A Survey.
CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.
CoRR, 2022

DialogSum Challenge: Results of the Dialogue Summarization Shared Task.
CoRR, 2022

Mining Error Templates for Grammatical Error Correction.
CoRR, 2022

A Graph Enhanced BERT Model for Event Prediction.
CoRR, 2022

The Cross-lingual Conversation Summarization Challenge.
CoRR, 2022

On Effectively Learning of Knowledge in Continual Pre-training.
CoRR, 2022

Towards Fine-grained Causal Reasoning and QA.
CoRR, 2022

Challenges for Open-domain Targeted Sentiment Analysis.
CoRR, 2022

Towards Robust Online Dialogue Response Generation.
CoRR, 2022

Do Prompts Solve NLP Tasks Using Natural Language?
CoRR, 2022

Contrastive latent variable models for neural text generation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Towards Event-level Causal Relation Identification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Granularity Optimization for Non-Autoregressive Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-domain Generalization for AMR Parsing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AdaPrompt: Adaptive Model Training for Prompt-based NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Categorizing Semantic Representations for Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Human-in-the-loop Robotic Grasping Using BERT Scene Representation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Exploiting Sentiment and Common Sense for Zero-shot Stance Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Mere Contrastive Learning for Cross-Domain Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic-based Pre-training for Dialogue Understanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Challenges to Open-Domain Constituency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Prompt-Driven Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

A Graph Enhanced BERT Model for Event Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Investigating Non-local Features for Neural Constituency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Explicit Object Relation Alignment for Vision and Language Navigation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

Graph Pre-training for AMR Parsing and Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Skip-Gram Embeddings Using BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

Towards Navigation by Reasoning over Spatial Configurations.
CoRR, 2021

DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Constrained Text Generation with Global Guidance - Case Study on CommonGen.
CoRR, 2021

A span-graph neural model for overlapping entity relation extraction in biomedical texts.
Bioinform., 2021

Enriching contextualized language model from knowledge graph for biomedical information extraction.
Briefings Bioinform., 2021

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Sentence-State LSTMs For Sequence-to-Sequence Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Solving Aspect Category Sentiment Analysis as a Text Generation Task.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What Did You Refer to? Evaluating Co-References in Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Generalized Supervised Attention for Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Compositional Generalization of Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

End-to-End AMR Corefencence Resolution.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Template-Based Named Entity Recognition Using BART.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Commonsense Cues in BERT for Solving Commonsense Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

G-Transformer for Document-Level Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Semantic Representation for Dialogue Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Brain Decoding Using fNIRS.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Contextualized Rewriting for Text Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Lattice LSTM for Chinese Sentence Representation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Towards Better Word Alignment in Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Investigating Self-Attention Network for Chinese Word Segmentation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Topic-Enhanced Capsule Network for Multi-Label Emotion Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

From Genesis to Creole Language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Emoji-Based Sentiment Analysis Using Attention Networks.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Deep-recursive residual network for image semantic segmentation.
Neural Comput. Appl., 2020

An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion.
IEEE Multim., 2020

End-to-End Chinese Parsing Exploiting Lexicons.
CoRR, 2020

Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?
CoRR, 2020

Does BERT Solve Commonsense Task via Commonsense Knowledge?
CoRR, 2020

Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization.
CoRR, 2020

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition.
CoRR, 2020

Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network.
CoRR, 2020

Deep Learning Approaches to Text Production.
Comput. Linguistics, 2020

Topic-informed neural approach for biomedical event extraction.
Artif. Intell. Medicine, 2020

SemEval-2020 Task 4: Commonsense Validation and Explanation.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dialogue State Induction Using Neural Latent Variable Models.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Inference-Masked Loss for Deep Structured Output Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

What Have We Achieved on Text Summarization?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Inducing Target-Specific Latent Structures for Aspect Sentiment Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Online Back-Parsing for AMR-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Making the Best Use of Review Summary for Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Role Labeling with Heterogeneous Syntactic Knowledge.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Sentiment Forecasting in Dialog.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Layer-Wise Multi-View Learning for Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Chinese BERT Encode Word Structure?
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AMR Parsing with Latent Structural Information.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multiscale Collaborative Deep Models for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Structural Information Preserving for Graph-to-Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Cell Compositional LSTM for NER Domain Adaptation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DRTS Parsing with Structure-Aware Encoding and Decoding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MuTual: A Dataset for Multi-Turn Dialogue Reasoning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating Commonsense in Pre-Trained Language Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Point Semantic Representation for Intent Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Relation Extraction Exploiting Full Dependency Forests.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Latent Emotion Memory for Multi-Label Emotion Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction.
IEEE Trans. Knowl. Data Eng., 2019

TEND: A Target-Dependent Representation Learning Framework for News Document.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Semantic Neural Machine Translation using AMR.
Trans. Assoc. Comput. Linguistics, 2019

Sentiment-aware volatility forecasting.
Knowl. Based Syst., 2019

ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning.
Neurocomputing, 2019

Multi-task and multi-view training for end-to-end relation extraction.
Neurocomputing, 2019

Using Dynamic Embeddings to Improve Static Embeddings.
CoRR, 2019

Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis.
CoRR, 2019

Duality Regularization for Unsupervised Bilingual Lexicon Induction.
CoRR, 2019

Learning Word Embeddings with Domain Awareness.
CoRR, 2019

Shared-Private LSTM for Multi-domain Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Domain Representation for Knowledge Graph Embedding.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Domain Invariant Word Representations for Parsing Domain Adaptation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Improving Cross-Domain Chinese Word Segmentation with Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Subword Encoding in Lattice LSTM for Chinese Word Segmentation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Code-Switching for Enhancing NMT with Pre-Specified Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sub-Graph Regularization for Scalable Semi-supervised Classification.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Leveraging Dependency Forest for Neural Medical Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Pilot Study for Chinese SQL Semantic Parsing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Contrastive Attention Mechanism for Abstractive Sentence Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hierarchically-Refined Label Attention Network for Sequence Labeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptive Neural Sentence Compression by Tree Cutting.
Proceedings of the Advances in Information Retrieval, 2019

SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019

Multi-Granular Text Encoding for Self-Explaining Categorization.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Tree Communication Models for Sentiment Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Latent Variable Sentiment Grammar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Leveraging Local and Global Patterns for Self-Attention Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Open Domain Event Extraction Using Neural Latent Variable Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Domain NER using Cross-Domain Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Neural Network Approach to Verb Phrase Ellipsis Resolution.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transition-Based Neural Word Segmentation Using Word-Level Features.
J. Artif. Intell. Res., 2018

Frame-Based Representation for Event Detection on Twitter.
IEICE Trans. Inf. Syst., 2018

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks.
CoRR, 2018

Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning.
CoRR, 2018

PE-TU Participation at TAC 2018 Drug-Drug Interaction Extraction from Drug Labels.
Proceedings of the 2018 Text Analysis Conference, 2018

Leveraging Context Information for Natural Question Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Domain Representation for Multi-Domain Sentiment Classification.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Mining Evidences for Concept Stock Recommendation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Cross-lingual Terminology Extraction for Translation Quality Estimation.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Neural Transition-based Syntactic Linearization.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

Joint Extraction of Entities and Relations Based on a Novel Graph Scheme.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

N-ary Relation Extraction using Graph-State LSTM.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Design Challenges and Misconceptions in Neural Sequence Labeling.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Two Local Models for Neural Constituent Parsing.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Linked Document Classification by Network Representation Learning.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

Chinese NER Using Lattice LSTM.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sentence-State LSTM for Text Representation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

NCRF++: An Open-source Neural Sequence Labeling Toolkit.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

A Rank-Based Similarity Metric for Word Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Graph-to-Sequence Model for AMR-to-Text Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improved English to Russian Translation by Neural Suffix Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Head-Lexicalized Bidirectional Tree LSTMs.
Trans. Assoc. Comput. Linguistics, 2017

A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing.
J. Artif. Intell. Res., 2017

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.
CoRR, 2017

Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information.
Comput. Intell., 2017

A transition-based joint model for disease named entity recognition and normalization.
Bioinform., 2017

Neural Reranking for Named Entity Recognition.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Dependency Parsing with Partial Annotations: An Empirical Comparison.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Implicit Syntactic Features for Target-dependent Sentiment Analysis.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Deep Learning in Lexical Analysis and Parsing.
Proceedings of the IJCNLP 2017, Taipei, Taiwan, November 27, 2017

A Neural Model for Joint Event Detection and Summarization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

DDoS Event Forecasting using Twitter Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CBOS: Continuos bag of sentences for learning sentence embeddings.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Supervised learning for robust term extraction.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Joint bi-affine parsing and semantic role labeling.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Semantic-frame representation for event detection on Twitter.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Word-Context Character Embeddings for Chinese Word Segmentation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

End-to-End Neural Relation Extraction with Global Optimization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Integrating Order Information and Event Relation for Script Event Prediction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Opinion Recommendation Using A Neural Model.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Transition-Based Disfluency Detection using LSTMs.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Transition-Based Deep Input Linearization.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Attention Modeling for Targeted Sentiment.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Neural Word Segmentation with Rich Pretraining.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Universal Dependencies Parsing for Colloquial Singaporean English.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

AMR-to-text Generation with Synchronous Node Replacement Grammar.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

Hyperbolic Dependency Tree Visualization for Parser Evaluation.
Int. J. Softw. Informatics, 2016

Bidirectional Tree-Structured LSTM with Head Lexicalization.
CoRR, 2016

Training Dependency Parsers with Partial Annotation.
CoRR, 2016

Exploiting meta features for dependency parsing and part-of-speech tagging.
Artif. Intell., 2016

Transition-Based Syntactic Linearization with Lookahead Features.
Proceedings of the NAACL HLT 2016, 2016

Expectation-Regulated Neural Model for Event Mention Extraction.
Proceedings of the NAACL HLT 2016, 2016

Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

LibN3L: A Lightweight Package for Neural NLP.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Multi-prototype Chinese Character Embedding.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Joint Models for Extracting Adverse Drug Events from Biomedical Text.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bag-of-Embeddings for Text Classification.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Context-Sensitive Lexicon Features for Neural Sentiment Analysis.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

AMR-to-text generation as a Traveling Salesman Problem.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Automatic Features for Essay Scoring - An Empirical Study.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Network for Heterogeneous Annotations.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Tweet Sarcasm Detection Using Deep Neural Network.
Proceedings of the COLING 2016, 2016

Distance Metric Learning for Aspect Phrase Grouping.
Proceedings of the COLING 2016, 2016

A Bilingual Attention Network for Code-switched Emotion Prediction.
Proceedings of the COLING 2016, 2016

Deceptive Opinion Spam Detection Using Neural Network.
Proceedings of the COLING 2016, 2016

Knowledge-Driven Event Embedding for Stock Prediction.
Proceedings of the COLING 2016, 2016

Measuring the Information Content of Financial News.
Proceedings of the COLING 2016, 2016

Combining Discrete and Neural Features for Sequence Labeling.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

A Search-Based Dynamic Reranking Model for Dependency Parsing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Transition-Based Neural Word Segmentation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Active Learning for Dependency Parsing with Partial Annotation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Gated Neural Networks for Targeted Sentiment Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Context-Sensitive Twitter Sentiment Classification Using Neural Network.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Dependency Tree Representations of Predicate-Argument Structures.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Joint Word Segmentation, POS-Tagging and Syntactic Chunking.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
An Introduction to Python and Computer Programming
Lecture Notes in Electrical Engineering 353, Springer, ISBN: 978-981-287-609-6, 2015

Distributed Feature Representations for Dependency Parsing.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Discriminative Syntax-Based Word Ordering for Text Generation.
Comput. Linguistics, 2015

Transition-Based Syntactic Linearization.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Target-Dependent Twitter Sentiment Classification with Rich Automatic Features.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Deep Learning for Event-Driven Stock Prediction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Neural Networks for Open Domain Targeted Sentiment.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Transition-based Model for Joint Segmentation, POS-tagging and Normalization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Event-Driven Headline Generation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Word Segmentation for Chinese Novels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
ViZPar: A GUI for ZPar with Manual Feature Selection.
Proces. del Leng. Natural, 2014

Automatic early defects detection in use case documents.
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

Syntactic SMT Using a Discriminative Text Generation Model.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

ZORE: A Syntax-based System for Chinese Open Relation Extraction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Using Structured Events to Predict Stock Price Movement: An Empirical Investigation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Multi-view Chinese Treebanking.
Proceedings of the COLING 2014, 2014

Feature Embedding for Dependency Parsing.
Proceedings of the COLING 2014, 2014

A Semantics Oriented Grammar for Chinese Treebanking.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Character-Level Chinese Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Shift-Reduce CCG Parsing with a Dependency Model.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Punctuation Processing for Projective Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Tagging The Web: Building A Robust Web Tagger with Neural Network.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

On WordNet Semantic Classes and Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Joint Morphological Generation and Syntactic Linearization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Feature-Rich Segment-Based News Event Detection on Twitter.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Partial-Tree Linearization: Generalized Word Ordering for Text Synthesis.
Proceedings of the IJCAI 2013, 2013

Semi-Supervised Feature Transformation for Dependency Parsing.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Fast and Accurate Shift-Reduce Constituent Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Chinese Parsing Exploiting Characters.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Learning to Prune: Context-Sensitive Pruning for Syntactic MT.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Syntax-Based Word Ordering Incorporating a Large-Scale Language Model.
Proceedings of the EACL 2012, 2012

Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing.
Proceedings of the COLING 2012, 2012

Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging.
Proceedings of the COLING 2012, 2012

2011
Syntactic Processing Using the Generalized Perceptron and Beam Search.
Comput. Linguistics, 2011

Syntax-Based Grammaticality Improvement using CCG and Guided Search.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Transition-based Dependency Parsing with Rich Non-local Features.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Shift-Reduce CCG Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Efficient partial-duplicate detection based on sequence matching.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Recent Advances in Dependency Parsing.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA, 2010

A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Chart Pruning for Fast Lexicalised-Grammar Parsing.
Proceedings of the COLING 2010, 2010

2009
Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model.
Proceedings of the 11th International Workshop on Parsing Technologies (IWPT-2009), 2009

2008
A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Joint Word Segmentation and POS Tagging Using a Single Perceptron.
Proceedings of the ACL 2008, 2008

2007
Chinese Segmentation with a Word-Based Perceptron Algorithm.
Proceedings of the ACL 2007, 2007


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