Bing Qin

Orcid: 0000-0002-2543-5604

Affiliations:
  • Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
  • Harbin Institute of Technology, Department of Computer Science, China (PhD 2005)


According to our database1, Bing Qin authored at least 334 papers between 2007 and 2025.

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Bibliography

2025
Exploring & exploiting high-order graph structure for sparse knowledge graph completion.
Frontiers Comput. Sci., February, 2025

2024
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations.
Multim. Tools Appl., October, 2024

Pretraining without wordpieces: learning over a vocabulary of millions of words.
Int. J. Mach. Learn. Cybern., September, 2024

Reasoning subevent relation over heterogeneous event graph.
Knowl. Inf. Syst., September, 2024

Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty?
Mach. Intell. Res., April, 2024

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
IEEE Trans. Multim., 2024

Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024

Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Neural Networks, 2024

Event Causality Identification via Competitive-Cooperative Cognition Networks.
Knowl. Based Syst., 2024

VEM<sup>2</sup>L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion.
Data Min. Knowl. Discov., 2024

Discrete Modeling via Boundary Conditional Diffusion Processes.
CoRR, 2024

Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning.
CoRR, 2024

Lens: Rethinking Multilingual Enhancement for Large Language Models.
CoRR, 2024

CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought.
CoRR, 2024

Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR, 2024

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
CoRR, 2024

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR, 2024

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
CoRR, 2024

MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
CoRR, 2024

Rethinking Entity-level Unlearning for Large Language Models.
CoRR, 2024

Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey.
CoRR, 2024

RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models.
CoRR, 2024

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
CoRR, 2024

MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.
CoRR, 2024

Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching.
CoRR, 2024

Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.
CoRR, 2024

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR, 2024

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models.
CoRR, 2024

Vanilla Transformers are Transfer Capability Teachers.
CoRR, 2024

AS-ES Learning: Towards Efficient CoT Learning in Small Models.
CoRR, 2024

Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR, 2024

Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models.
CoRR, 2024

Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis.
CoRR, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
CoRR, 2024

DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
CoRR, 2024

SCIR-MT's Submission for WMT24 General Machine Translation Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Retrieval-Generation Synergy Augmented Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.
Proceedings of the IEEE International Conference on Acoustics, 2024

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Extending Context Window of Large Language Models from a Distributional Perspective.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Aligning Translation-Specific Understanding to General Understanding in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BC-Prover: Backward Chaining Prover for Formal Theorem Proving.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Large Language Model Attribution through Self-Improving.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ESDM: Early Sensing Depression Model in Social Media Streams.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

AS-ES Learning: Towards efficient CoT learning in small models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Causal-Guided Active Learning for Debiasing Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Planning Like Human: A Dual-process Framework for Dialogue Planning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network.
Cogn. Syst. Res., June, 2023

TAGNet: a tiny answer-guided network for conversational question generation.
Int. J. Mach. Learn. Cybern., May, 2023

Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding.
CoRR, 2023

Emage: Non-Autoregressive Text-to-Image Generation.
CoRR, 2023

KwaiAgents: Generalized Information-seeking Agent System with Large Language Models.
CoRR, 2023

Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak.
CoRR, 2023

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.
CoRR, 2023

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
CoRR, 2023

An Early Evaluation of GPT-4V(ision).
CoRR, 2023

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
CoRR, 2023

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature.
CoRR, 2023

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese.
CoRR, 2023

GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue.
CoRR, 2023

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR, 2023

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.
CoRR, 2023

UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning.
CoRR, 2023

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR, 2023

Improving Cross-Task Generalization with Step-by-Step Instructions.
CoRR, 2023

The Role of Summarization in Generative Agents: A Preliminary Perspective.
CoRR, 2023

Is ChatGPT Equipped with Emotional Dialogue Capabilities?
CoRR, 2023

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge.
CoRR, 2023

Global Prompt Cell: A Portable Control Module for Effective Prompt.
CoRR, 2023

Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning.
CoRR, 2023

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning to Describe for Predicting Zero-shot Drug-Drug Interactions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

In-context Learning for Few-shot Multimodal Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hierarchical Catalogue Generation for Literature Review: A Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Affective Event Classification with Multi-perspective Knowledge Injection.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

A Diffusion Model for Event Skeleton Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Higher Pareto Frontier in Multilingual Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Controllable Text Generation via Probability Density Estimation in the Latent Space.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improved Visual Story Generation with Adaptive Context Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Biomedical evidence engineering for data-driven discovery.
Bioinform., November, 2022

Structural and Textual Information Fusion for Symptom and Disease Representation Learning.
IEEE Trans. Knowl. Data Eng., 2022

Transforming Wikipedia Into Augmented Data for Query-Focused Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Interactive Gated Decoder for Machine Reading Comprehension.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Learning to share by masking the non-shared for multi-domain sentiment classification.
Int. J. Mach. Learn. Cybern., 2022

Learning to refine source representations for neural machine translation.
Int. J. Mach. Learn. Cybern., 2022

Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst., 2022

A survey of discourse parsing.
Frontiers Comput. Sci., 2022

Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning.
CoRR, 2022

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR, 2022

Controllable Text Generation via Probability Density Estimation in the Latent Space.
CoRR, 2022

BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations.
CoRR, 2022

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia.
CoRR, 2022

An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition.
CoRR, 2022

Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition.
CoRR, 2022

Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
CoRR, 2022

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
CoRR, 2022

VEM<sup>2</sup>L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion.
CoRR, 2022

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations.
CoRR, 2022

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
CoRR, 2022

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

OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation.
CoRR, 2022

Masking and Generation: An Unsupervised Method for Sarcasm Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

A Survey on Dialogue Summarization: Recent Advances and New Frontiers.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Distilled Dual-Encoder Model for Vision-Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unifying the Convergences in Multilingual Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Distributional Lens for Multi-Aspect Controllable Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CogBERT: Cognition-Guided Pre-trained Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Improving Controllable Text Generation with Position-Aware Weighted Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Pre-Training With Whole Word Masking for Chinese BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning number reasoning for numerical table-to-text generation.
Int. J. Mach. Learn. Cybern., 2021

Modeling Incongruity between Modalities for Multimodal Sarcasm Detection.
IEEE Multim., 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.
CoRR, 2021

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey.
CoRR, 2021

Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification.
CoRR, 2021

Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process.
Sci. China Inf. Sci., 2021

Heterogeneous graph knowledge enhanced stock market prediction.
AI Open, 2021

An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
Proceedings of the International Joint Conference on Neural Networks, 2021

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Neural Natural Logic Inference for Interpretable Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning to Rewrite for Non-Autoregressive Neural Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Knowledge Enhanced Target-Aware Stance Detection on Tweets.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Event Graph Knowledge for Abductive Reasoning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Joint Learning of Question Answering and Question Generation.
IEEE Trans. Knowl. Data Eng., 2020

Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Deep Contextualized Word Embeddings for Universal Dependency Parsing.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences.
Mob. Networks Appl., 2020

A syntactic path-based hybrid neural network for negation scope detection.
Frontiers Comput. Sci., 2020

Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization.
CoRR, 2020

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules.
CoRR, 2020

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
CoRR, 2020

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.
CoRR, 2020

HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

A Passage-Level Text Similarity Calculation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Document-Level Event Subject Pair Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Revisiting Pre-Trained Models for Chinese Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Iterative Emotion Interaction Network for Emotion Recognition in Conversations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

How Does Selective Mechanism Improve Self-Attention Networks?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Multi-View-Based Collective Entity Linking Method.
ACM Trans. Inf. Syst., 2019

Collective entity linking: a random walk-based perspective.
Knowl. Inf. Syst., 2019

Content-based table retrieval for web queries.
Neurocomputing, 2019

Negation scope detection with recurrent neural networks models in review texts.
Int. J. High Perform. Comput. Netw., 2019

Tag recommendation based on topic hierarchy of folksonomy.
Int. J. Comput. Sci. Eng., 2019

An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension.
CoRR, 2019

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR, 2019

Pre-Training with Whole Word Masking for Chinese BERT.
CoRR, 2019

Towards Time-Aware Distant Supervision for Relation Extraction.
CoRR, 2019

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.
CoRR, 2019

Knowledge-Aware Conversational Semantic Parsing over Web Tables.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Hierarchical Attention based Neural Network for Explainable Recommendation.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time).
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Lingual Machine Reading Comprehension.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Table-to-Text Generation via Row-Aware Hierarchical Encoder.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

CTGA: Graph-based Biomedical Literature Search.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Learning to Ask Unanswerable Questions for Machine Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Answer Stance Detection with Recurrent Conditional Attention.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning to Refine Source Representations for Neural Machine Translation.
CoRR, 2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables.
CoRR, 2018

Knowledge Based Machine Reading Comprehension.
CoRR, 2018

A language-independent neural network for event detection.
Sci. China Inf. Sci., 2018

Parsing Tweets into Universal Dependencies.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Topic-to-Essay Generation with Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An AMR Aligner Tuned by Transition-based Parser.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Adaptive Multi-pass Decoder for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Joint Model for Sentiment Classification and Opinion Words Extraction.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Semantic Parsing with Syntax- and Table-Aware SQL Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Distilling Knowledge for Search-based Structured Prediction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Hierarchical Attention Flow for Multiple-Choice Reading Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Document representation and feature combination for deceptive spam review detection.
Neurocomputing, 2017

Encoding syntactic representations with a neural network for sentiment collocation extraction.
Sci. China Inf. Sci., 2017

Contradiction Detection with Contradiction-Specific Word Embedding.
Algorithms, 2017

Constructing and Embedding Abstract Event Causality Networks from Text Snippets.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Local Contexts Are Effective for Neural Aspect Extraction.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Babbling - The HIT-SCIR System for Emotional Conversation Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Effective Deep Memory Networks for Distant Supervised Relation Extraction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Learning Based Document Theme Analysis for Composition Generation.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Constructing Semantic Hierarchies via Fusion Learning Architecture.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Benben: A Chinese Intelligent Conversational Robot.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Sentiment Embeddings with Applications to Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2016

Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog.
Multim. Tools Appl., 2016

Topical key concept extraction from folksonomy through graph-based ranking.
Multim. Tools Appl., 2016

Topic hierarchy construction from heterogeneous evidence.
Frontiers Comput. Sci., 2016

Truth Discovery with Memory Network.
CoRR, 2016

Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction.
Proceedings of the Social Media Processing - 5th National Conference, 2016


HC-Search for Incremental Parsing.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Exploring Segment Representations for Neural Segmentation Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Aspect Level Sentiment Classification with Deep Memory Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Effective LSTMs for Target-Dependent Sentiment Classification.
Proceedings of the COLING 2016, 2016

English-Chinese Knowledge Base Translation with Neural Network.
Proceedings of the COLING 2016, 2016

A Language-Independent Neural Network for Event Detection.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Deep learning for sentiment analysis: successful approaches and future challenges.
WIREs Data Mining Knowl. Discov., 2015

A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Learning Semantic Hierarchies: A Continuous Vector Space Approach.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Open-categorical text classification based on multi-LDA models.
Soft Comput., 2015

BUEES: a bottom-up event extraction system.
Frontiers Inf. Technol. Electron. Eng., 2015

Creating a Fine-Grained Corpus for Chinese Sentiment Analysis.
IEEE Intell. Syst., 2015

A Planning based Framework for Essay Generation.
CoRR, 2015

Target-Dependent Sentiment Classification with Long Short Term Memory.
CoRR, 2015

Generating Triples Based on Dependency Parsing for Contradiction Detection.
Proceedings of the Social Media Processing - 4th National Conference, 2015

What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Encoding World Knowledge in the Evaluation of Local Coherence.
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

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

User Modeling with Neural Network for Review Rating Prediction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Document Representation for Deceptive Opinion Spam Detection.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment.
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

Learning Semantic Representations of Users and Products for Document Level Sentiment Classification.
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
Generating Chinese named entity data from parallel corpora.
Frontiers Comput. Sci., 2014

Emotion Analysis Platform on Chinese Microblog.
CoRR, 2014

Coooolll: A Deep Learning System for Twitter Sentiment Classification.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Aspect-Object Alignment Using Integer Linear Programming.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

A Joint Segmentation and Classification Framework for Sentiment Analysis.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Sentence Compression for Target-Polarity Word Collocation Extraction.
Proceedings of the COLING 2014, 2014

Triple based Background Knowledge Ranking for Document Enrichment.
Proceedings of the COLING 2014, 2014

Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach.
Proceedings of the COLING 2014, 2014

Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning Semantic Hierarchies via Word Embeddings.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation.
CoRR, 2013

Learning Sentence Representation for Emotion Classification on Microblogs.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

Improving Candidate Generation for Entity Linking.
Proceedings of the Natural Language Processing and Information Systems, 2013

Topical Key Concept Extraction from Folksonomy.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Building Chinese Event Type Paradigm Based on Trigger Clustering.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Microblog Entity Linking by Leveraging Extra Posts.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Exploiting Multiple Sources for Open-Domain Hypernym Discovery.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Improving Web Search Ranking by Incorporating Structured Annotation of Queries.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering.
Expert Syst. Appl., 2012

HIT Approaches to Entity Linking at TAC 2012.
Proceedings of the Fifth Text Analysis Conference, 2012

Collocation Polarity Disambiguation Using Web-based Pseudo Contexts.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification.
Int. J. Comput. Process. Orient. Lang., 2011

Generating Chinese Named Entity Data from a Parallel Corpus.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Coreference Resolution System using Maximum Entropy Classifier.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

2010
Cascaded Regression Analysis Based Temporal Multi-document Summarization.
Informatica (Slovenia), 2010

The Comparison of SOM and K-means for Text Clustering.
Comput. Inf. Sci., 2010

Generalizing Syntactic Structures for Product Attribute Candidate Extraction.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

2009
Unsupervised Coreference Resolution with HyperGraph Partitioning.
Comput. Inf. Sci., 2009

Multilingual Dependency-based Syntactic and Semantic Parsing.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009

2008
Iterative Feedback Based Manifold-Ranking for Update Summary.
Polibits, 2008

A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression.
J. Chin. Lang. Comput., 2008

HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence.
Proceedings of the First Text Analysis Conference, 2008

Recommended or Not? Give Advice on Online Products.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

A Cascaded Syntactic and Semantic Dependency Parsing System.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

2007
Intra-document Coreference Resolution: The state of the art.
J. Chin. Lang. Comput., 2007


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