Lidong Bing

Orcid: 0000-0003-4565-6313

Affiliations:
  • Machine Intelligence Technology, DAMO Academy, Alibaba Group
  • Tencent AI Lab, Shenzhen, China (former)
  • Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA (former)
  • Chinese University of Hong Kong, Hong Kong (former)


According to our database1, Lidong Bing authored at least 210 papers between 2007 and 2024.

Collaborative distances:

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Bibliography

2024
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
CoRR, 2024

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models.
CoRR, 2024

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
CoRR, 2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
CoRR, 2024

Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions.
CoRR, 2024

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
CoRR, 2024

ParaICL: Towards Robust Parallel In-Context Learning.
CoRR, 2024

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR, 2024

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
CoRR, 2024

How do Large Language Models Handle Multilingualism?
CoRR, 2024

Sentiment Analysis in the Era of Large Language Models: A Reality Check.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLEX: Continuous Length Extrapolation for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multilingual Jailbreak Challenges in Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating Psychological Safety of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring the Potential of Large Language Models in Computational Argumentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.
IEEE Trans. Knowl. Data Eng., November, 2023

SeaLLMs - Large Language Models for Southeast Asia.
CoRR, 2023

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.
CoRR, 2023

Contrastive Chain-of-Thought Prompting.
CoRR, 2023

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.
CoRR, 2023

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
CoRR, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
CoRR, 2023

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models.
CoRR, 2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR, 2023

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction.
CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023

Better Sampling of Negatives for Distantly Supervised Named Entity Recognition.
CoRR, 2023

Are Large Language Models Good Evaluators for Abstractive Summarization?
CoRR, 2023

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.
CoRR, 2023

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.
CoRR, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is GPT-4 a Good Data Analyst?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SOUL: Towards Sentiment and Opinion Understanding of Language.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Enhancing Cross-lingual Prompting with Dual Prompt Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

mPMR: A Multilingual Pre-trained Machine Reader at Scale.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Zero-Shot Text Classification via Self-Supervised Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Easy-to-Hard Learning for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Is GPT-3 a Good Data Annotator?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Sampling Better Negatives for Distantly Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Reasoning Implicit Sentiment with Chain-of-Thought Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On the Effectiveness of Parameter-Efficient Fine-Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.
CoRR, 2022

Is GPT-3 a Good Data Annotator?
CoRR, 2022

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.
CoRR, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022

Informative Text Generation from Knowledge Triples.
CoRR, 2022

Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction.
CoRR, 2022

Enhancing Cross-lingual Prompting with Mask Token Augmentation.
CoRR, 2022

ConNER: Consistency Training for Cross-lingual Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Interventional Training for Out-Of-Distribution Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SentBS: Sentence-level Beam Search for Controllable Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce.
Neurocomputing, 2021

Knowledge Based Multilingual Language Model.
CoRR, 2021

MReD: A Meta-Review Dataset for Controllable Text Generation.
CoRR, 2021

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.
CoRR, 2021

Affect Recognition for Multimodal Natural Language Processing.
Cogn. Comput., 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Better Feature Integration for Named Entity Recognition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Aspect-based Sentiment Analysis in Question Answering Forums.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual AMR Parsing with Noisy Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Generative Aspect-Based 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

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Bootstrapped Unsupervised Sentence Representation Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks.
ACM Trans. Soc. Comput., 2020

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks.
CoRR, 2020

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.
CoRR, 2020

An Unsupervised Sentence Embedding Method byMutual Information Maximization.
CoRR, 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.
CoRR, 2020

Knowledge Graph Empowered Entity Description Generation.
CoRR, 2020

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization.
CoRR, 2020

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Unsupervised Sentence Embedding Method by Mutual Information Maximization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Position-Aware Tagging for Aspect Sentiment Triplet Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Aspect Sentiment Classification with Aspect-Specific Opinion Spans.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Partially-Aligned Data-to-Text Generation with Distant Supervision.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dynamic Topic Tracker for KB-to-Text Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Review-based Question Generation with Adaptive Instance Transfer and Augmentation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GRET: Global Representation Enhanced Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Open Domain Event Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Persona-Aware Tips Generation?
Proceedings of the World Wide Web Conference, 2019

An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Difficulty Controllable Generation of Reading Comprehension Questions.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Semi-supervised Text Style Transfer: Cross Projection in Latent Space.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hierarchical Pointer Net Parsing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Question Generation With to the Point Context.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Learning to Write Stories with Thematic Consistency and Wording Novelty.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Abstractive Text Summarization by Incorporating Reader Comments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Generating Distractors for Reading Comprehension Questions from Real Examinations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks.
ACM Trans. Inf. Syst., 2018

Learning a unified embedding space of web search from large-scale query log.
Knowl. Based Syst., 2018

Difficulty Controllable Question Generation for Reading Comprehension.
CoRR, 2018

Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing.
CoRR, 2018

Actor-Critic based Training Framework for Abstractive Summarization.
CoRR, 2018

Semi-Supervised Learning with Declaratively Specified Entropy Constraints.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Aspect Term Extraction with History Attention and Selective Transformation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuaSE: Sequence Editing under Quantifiable Guidance.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Variational Autoregressive Decoder for Neural Response Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Transformation Networks for Target-Oriented Sentiment Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern.
Knowl. Based Syst., 2017

Neural Rating Regression with Abstractive Tips Generation for Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Recurrent Generative Decoder for Abstractive Text Summarization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset.
Proceedings of the Workshop on New Frontiers in Summarization, 2017

Recurrent Attention Network on Memory for Aspect Sentiment Analysis.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews.
ACM Trans. Internet Techn., 2016

CUIS at the NTCIR-12 MobileClick2 Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Efficient and Scalable Detection of Overlapping Communities in Big Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Learning a Semantic Space of Web Search via Session Data.
Proceedings of the Information Retrieval Technology, 2016

Detecting Common Discussion Topics Across Culture From News Reader Comments.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Distant IE by Bootstrapping Using Lists and Document Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.
ACM Trans. Inf. Syst., 2015

Adaptive Concept Resolution for document representation and its applications in text mining.
Knowl. Based Syst., 2015

Supervised topic models with word order structure for document classification and retrieval learning.
Inf. Retr. J., 2015

Reader-Aware Multi-Document Summarization via Sparse Coding.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multilingual Viewpoint Detection from news comments.
Proceedings of the 2015 International Conference on Asian Language Processing, 2015

Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.
Proceedings of the Advances in Information Retrieval, 2015

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Abstractive Multi-Document Summarization via Phrase Selection and Merging.
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

2014
Web page segmentation with structured prediction and its application in web page classification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Website Community Mining from Query Logs with Two-Phase Clustering.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model.
ACM Trans. Web, 2013

Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data.
Int. J. Comput. Linguistics Appl., 2013

Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Structured positional entity language model for enterprise entity retrieval.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Information discovery from semi-structured record sets on the Web.
PhD thesis, 2012

Unsupervised Extraction of Popular Product Attributes from Web Sites.
Proceedings of the Information Retrieval Technology, 2012

2011
Normalizing web product attributes and discovering domain ontology with minimal effort.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Ontology enhancement and concept granularity learning: keeping yourself current and adaptive.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Using query log and social tagging to refine queries based on latent topics.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Towards a unified solution: data record region detection and segmentation.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Learning ontology resolution for document representation and its applications in text mining.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2008
Weighting Links Using Lexical and Positional Analysis in Web Ranking.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Primary content extraction with Mountain Model.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
LET: Towards More Precise Clustering of Search Results.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007


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