Knowledge Graph: algorithm and practice
Higher Education Press, 2022
Knowledge Graph
Higher Education Press, 2018.12
Knowledge Extraction from Wiki/BBS/Blogs/News Websites
In the book of Mining of User Generated Content. CRC Press, 2014
Sentiment Analysis: Mining Opinions, Sentiments and Emotions
China Machine Press, 2017.10
Please refer to Google Scholar / DBLP / Semantic Scholar for the full list of my research papers.
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
Proceedings of ACL, Vienna, Austria, 2025
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
Proceedings of ACL, Vienna, Austria, 2025
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
Proceedings of ACL, Vienna, Austria, 2025
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
Proceedings of ACL, Vienna, Austria, 2025
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
Proceedings of ACL, Vienna, Austria, 2025
A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns
Proceedings of ACL, Vienna, Austria, 2025
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
Proceedings of ACL, Vienna, Austria, 2025
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
Proceedings of ACL Findings, Vienna, Austria, 2025
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation
Proceedings of ACL Findings, Vienna, Austria, 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
Proceedings of ACL Findings, Vienna, Austria, 2025
Towards Adaptive Mechanism Activation in Language Agent
Proceedings of COLING, Abu Dhabi, UAE, January 19-24, 2025
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
Proceedings of COLING, Abu Dhabi, UAE, January 19-24, 2025
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
Proceedings of COLING, Abu Dhabi, UAE, January 19-24, 2025
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
Proceedings of COLING NeusymBridge Workshop, Abu Dhabi, UAE, January 19-24, 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance
Proceedings of AAAI, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
Proceedings of AAAI, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Proceedings of AAAI, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Proceedings of AAAI, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025
MIRAGE：Evaluating and Explaining Inductive Reasoning Process in Language Models
Proceedings of ICLR, Singapore EXPO, April 24-28, 2025
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
Proceedings of ICLR, Singapore EXPO, April 24-28, 2025
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
Proceedings of ICLR, Singapore EXPO, April 24-28, 2025
Prompting, Decoding, Embedding: Leveraging Pretrained Language Models for High-Quality and Diverse Open Rule Induction
IEEE Transactions on Audio, Speech and Language Processing, 2025
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
Proceedings of NeurIPS, Vancouver, Canada, December 10-15, 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
Proceedings of NeurIPS, Vancouver, Canada, December 10-15, 2024
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Proceedings of ICLR, Vienna, May 7-12, 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing
Proceedings of ACL, Bangkok, Thailand, August 11-16, 2024
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
Proceedings of ACL, Bangkok, Thailand, August 11-16, 2024
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
Proceedings of ACL Findings, Bangkok, Thailand, August 11-16, 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
Proceedings of ACL Findings, Bangkok, Thailand, August 11-16, 2024
ItD: Large Language Models Can Teach Themselves Induction through Deduction
Proceedings of ACL, Bangkok, Thailand, August 11-16, 2024
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
Proceedings of ACL Findings, Bangkok, Thailand, August 11-16, 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
Proceedings of ACL, Bangkok, Thailand, August 11-16, 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
Proceedings of ACL Findings, Bangkok, Thailand, August 11-16, 2024
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
Proceedings of ACL Demo, Bangkok, Thailand, August 11-16, 2024
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
Proceedings of LREC-COLING, Torino, Italia, May 20-25, 2024
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts
Proceedings of LREC-COLING, Torino, Italy, May 20-25, 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
Proceedings of LREC-COLING, Torino, Italia, May 20-25, 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
Proceedings of LREC-COLING, Torino, Italy, May 20-25, 2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering
Proceedings of LREC-COLING, Torino, Italia, May 20-25, 2024
NutFrame: Frame-based Conceptual Structure Induction with LLMs
Proceedings of LREC-COLING, Torino, Italia, May 20-25, 2024
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database
Proceedings of LREC-COLING, Torino, Italia, May 20-25, 2024
Open Event Causality Extraction by the Assistance of LLM in Task Annotation, Dataset, and Method
Proceedings of LREC-COLING Workshop, Torino, Italia, May 20-25, 2024
Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics
Proceedings of ICASSP, Seoul, South Korea, April 16-19, 2024
Towards Better Quantity Representations for Solving Math Word Problems
IEEE Transactions on Audio, Speech and Language Processing, 2024
Journey to the center of the knowledge neurons: Discoveries of language-independent knowledge neurons and degenerate knowledge neurons
Proceedings of AAAI, Vancouver, British Columbia, February 20-27, 2024
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models
Proceedings of NAACL Demo, Mexico City, Mexico, June 16-21, 2024
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
Proceedings of NAACL, Mexico City, Mexico, June 16-21, 2024
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
Proceedings of IJCAI Demo, Jeju, South Korea, August 3-9, 2024
Information Bottleneck based Knowledge Selection for Commonsense Reasoning
Information Sciences, 2024
ABSEval: An Agent-based Framework for Script Evaluation
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Commonsense Knowledge Editing Based on Free-Text in LLMs
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Improving Zero-shot LLM Re-Ranker with Risk Minimization
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
On the In-context Generation of Language Models
Proceedings of EMNLP, Miami, Florida, USA, November 12-16, 2024
KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model
Proceedings of EMNLP Demo, Miami, Florida, USA, November 12-16, 2024
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
Proceedings of EMNLP Findings, Miami, Florida, USA, November 12-16, 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
Proceedings of EMNLP Findings, Miami, Florida, USA, November 12-16, 2024
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
Proceedings of EMNLP Findings, Miami, Florida, USA, November 12-16, 2024
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression
IEEE Transactions on Audio, Speech and Language Processing, 2024
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
Proceedings of CIKM, New York, United States, October 21-25, 2024
A Simple and Interactive Transformer for Fine-Grained Emotion Detection
IEEE Transactions on Audio, Speech and Language Processing, 2024
S^3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
Proceedings of ACL, Toronto, Canada, 2023
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network
Proceedings of ACL, Toronto, Canada, 2023
Interpreting Sentiment Composition with Latent Semantic Tree
Proceedings of ACL, Toronto, Canada, 2023
EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata
Proceedings of ACL, Toronto, Canada, 2023
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
Proceedings of ACL, Toronto, Canada, 2023
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection
Proceedings of ACL, Toronto, Canada, 2023
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks
Proceedings of ACL, Toronto, Canada, 2023
Learning with Partial Annotations for Event Detection
Proceedings of ACL, Toronto, Canada, 2023
Zero-shot cross-lingual event argument extraction with language-oriented prefix-tuning
Proceedings of AAAI, Washington, DC, USA, 2023
Event Process Typing via Hierarchical Optimal Transport
Proceedings of AAAI, Washington, DC, USA, 2023
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models
Proceedings of EMNLP, Singapore, 2023
Generative Calibration for In-context Learning
Proceedings of EMNLP, Singapore, 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
Proceedings of EMNLP, Singapore, 2023
DiffusionSL: Sequence Labeling via Tag Diffusion Process
Proceedings of EMNLP, Singapore, 2023
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model
Proceedings of EMNLP, Singapore, 2023
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation
Proceedings of EMNLP, Singapore, 2023
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook
Proceedings of EMNLP, Singapore, 2023
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
Proceedings of EMNLP, Singapore, 2023
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs
Proceedings of EMNLP, Singapore, 2023
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching
Proceedings of EMNLP, Singapore, 2023
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models
Proceedings of EMNLP, Singapore, 2023
Large Language Models are Better Reasoners with Self-Verification
Proceedings of EMNLP, Singapore, 2023
Event Ontology Completion with Hierarchical Structure Evolution Networks
Proceedings of EMNLP, Singapore, 2023
On the Effects of Structural Modeling for Neural Semantic Parsing
Proceedings of CoNLL, Singapore, 2023
What Events Do Pre-trained Language Models Learn from Text? Probing Event-based Commonsense Knowledge by Confidence Sorting
Proceedings of NLPCC, Foshan, Guangdong, 2023
Multi-Target Semantic Parsing with Collaborative Deliberation Network
Proceedings of IJCNLP-AACL, Bali, Indonesia, 2023
CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge
Proceedings of ISWC, Athens, Greece, 2023
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
Proceedings of EACL, Lacroma Dubrovnik, 2023
Joint Entity and Relation Extraction With Set Prediction Networks
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach
Proceedings of COLING, Republic of Korea, 2022
Generating Temporally-ordered Event Sequences via Event Optimal Transport
Proceedings of COLING, Republic of Korea, 2022
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning
Proceedings of COLING, Republic of Korea, 2022
Multi-turn and Multi-Granularity Reader for Document-level Event Extraction
TALLIP, 2022
Script Event Prediction via Multilingual Event Graph Networks
TALLIP, 2022
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge
Proceedings of ACL Demo, Dublin, Ireland, 2022
Logic Traps in Evaluating Attribution Scores
Proceedings of ACL, Dublin, Ireland, 2022
Incremental Intent Detection for Medical Domain with Contrast Replay Networks
Findings of ACL, Dublin, Ireland, 2022
Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing
Proceedings of ACL, Dublin, Ireland, 2022
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder
Proceedings of COLING, Republic of Korea, 2022
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers
Proceedings of COLING, Republic of Korea, 2022
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts
Proceedings of COLING, Republic of Korea, 2022
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack
Proceedings of CCL, Jiangxi, 2022
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision
Journal of Computer Science and Technology, 2022
Example-guided stylized response generation in zero-shot setting
Science China Information Sciences, 2022
基于Beta分布和半监督学习的非确定性知识图谱嵌入模型
中文信息学报, 2022
A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing
Proceedings of EMNLP, Abu Dhabi, United Arab Emirates, 2022
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs
Proceedings of EMNLP, Abu Dhabi, United Arab Emirates, 2022
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models
Proceedings of EMNLP, Abu Dhabi, United Arab Emirates, 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding
Proceedings of EMNLP Demo, Abu Dhabi, United Arab Emirates, 2022
基于自适应知识选择的机器阅读理解
中文信息学报, 2022
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification
Proceedings of EMNLP, Punta Cana, Dominican Republic, 2021
Distantly Supervised Relation Extraction in Federated Settings
Proceedings of EMNLP, Punta Cana, Dominican Republic, 2021
Set Generation Networks for End-to-End Knowledge Base Population
Proceedings of EMNLP, Punta Cana, Dominican Republic, 2021
CroAno: A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset
Proceedings of EMNLP Demo, Punta Cana, Dominican Republic, 2021
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction
Proceedings of CIKM, Queensland, Australia, 2021
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder
Proceedings of CIKM, Queensland, Australia, 2021
Multi-Task Self-Supervised Learning for Script Event Prediction
Proceedings of CIKM, Queensland, Australia, 2021
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet
Proceedings of ACL Demo, Bangkok, Thailand, 2021
Named Entity Recognition via Noise Aware Training Mechanism with Data Filter
Proceedings of ACL Findings, Bangkok, Thailand, 2021
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
Proceedings of ACL, Bangkok, Thailand, 2021
A Large-Scale Chinese NER Dataset with Speech Clues
Proceedings of ACL, Bangkok, Thailand, 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Proceedings of ACL, Bangkok, Thailand, 2021
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
Proceedings of ACL Findings, Bangkok, Thailand, 2021
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism
Proceedings of ACL, Bangkok, Thailand, 2021
Document-level Event Extraction via Parallel Prediction Networks
Proceedings of ACL, Bangkok, Thailand, 2021
Knowledge Guided Metric Learning for Few-Shot Text Classification
Proceedings of NAACL, Online, 2021
What the role is vs. What plays the role: Semi-supervised Event Argument Extraction via Dual Question Answering
Proceedings of AAAI, Online, 2021
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
Proceedings of AAAI Demo, Online, 2021
Towards Causal Explanation Detection with Pyramid Salient-Aware Network
Proceedings of COLING, Online, 2020
Incremental Event Detection via Knowledge Consolidation Networks
Proceedings of EMNLP, Online, 2020
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
Proceedings of EMNLP, Online, 2020
Scene Restoring for Narrative Machine Reading Comprehension
Proceedings of EMNLP, Online, 2020
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations
Proceedings of IJCAI, Yokohama, Japan, 2020
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
Proceedings of ACL, Seattle, USA, 2020
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
Proceedings of ACL, Seattle, USA, 2020
MIE: A Medical Information Extractor towards Medical Dialogues
Proceedings of ACL, Seattle, USA, 2020
Neural Cross-Lingual Event Detection with Minimal Parallel Resources
Proceedings of EMNLP, Hong Kong, China, 2019
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
Proceedings of EMNLP, Hong Kong, China, 2019
Document Gated Reader for Open Domain Question Answering
Proceedings of SIGIR, Paris, France, 2019
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
Proceedings of AAAI, Honolulu, Hawaii, USA, 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
Proceedings of AAAI, Honolulu, Hawaii, USA, 2019
Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information
SCIENCE CHINA Information Sciences, 2019
Large Scaled Relation Extraction with Reinforcement Learning
Proceedings of AAAI, New Orleans, Louisiana, USA, 2018
Event Detection via Gated Multilingual Attention Mechanism
Proceedings of AAAI, New Orleans, Louisiana, USA, 2018
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
Proceedings of ACL, Melbourne, Australia, 2018
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
Proceedings of ACL, Melbourne, Australia, 2018
Curriculum Learning for Natural Answer Generation
Proceedings of IJCAI-ECAI, Stockholm, Sweden, 2018
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Proceedings of EMNLP, Brussels, Belgium, 2018
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
Proceedings of EMNLP, Brussels, Belgium, 2018
Deep Semantic Hashing with Multi-Adversarial Training
Proceedings of CIKM, Torino, Italy, 2018
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension
Proceedings of IJCAI, 2017
Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
Proceedings of ACL, Vancouver, Canada, 2017
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
Proceedings of ACL, Vancouver, Canada, 2017
Automatically Labeled Data Generation for Large Scale Event Extraction
Proceedings of ACL, Vancouver, Canada, 2017
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
Proceedings of ACL, Vancouver, Canada, 2017
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
Proceedings of ACL, Vancouver, Canada, 2017
Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions
Proceedings of AAAI, USA, 2017
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Proceedings of EACL, Valencia, Spain, 2017
Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions
Proceedings of AAAI, 2017
Learning to Represent Review with Tensor Decomposition for Spam Detection
Proceedings of EMNLP, 2016
Mining Inference Formulas by Goal-Directed Random
Proceedings of EMNLP, 2016
Leveraging FrameNet to Improve Automatic Event Detection
Proceedings of ACL, 2016
Inner Attention based Recurrent Neural Networks for Answer Selection
Proceedings of ACL, 2016
Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks
Proceedings of CCL and NLP-NABD, 2016 (Best Paper Award)
Employing External Rich Knowledge for Machine Comprehension
Proceedings of IJCAI, 2016
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
Proceedings of AAAI, 2016
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification
Proceedings of AAAI, 2016
A Joint Model for Question Answering over Multiple Knowledge Bases
Proceedings of AAAI, 2016
How to Generate a Good Word Embedding?
IEEE Intelligent Systems, 2016