Lei Hou

Orcid: 0000-0002-8907-3526

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, BDCST, BNRist, KIRC, Institute for Artificial Intelligence, Beijing, China


According to our database1, Lei Hou authored at least 172 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Dynamic multi teacher knowledge distillation for semantic parsing in KBQA.
Expert Syst. Appl., 2025

2024
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph.
IEEE Trans. Knowl. Data Eng., November, 2024

A Survey of Knowledge Enhanced Pre-Trained Language Models.
IEEE Trans. Knowl. Data Eng., April, 2024

Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Exploring sequence-to-sequence taxonomy expansion via language model probing.
Expert Syst. Appl., 2024

Constraint Back-translation Improves Complex Instruction Following of Large Language Models.
CoRR, 2024

LongReward: Improving Long-context Large Language Models with AI Feedback.
CoRR, 2024

Pre-training Distillation for Large Language Models: A Design Space Exploration.
CoRR, 2024

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style.
CoRR, 2024

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination.
CoRR, 2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.
CoRR, 2024

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA.
CoRR, 2024

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs.
CoRR, 2024

OpenEP: Open-Ended Future Event Prediction.
CoRR, 2024

LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking.
CoRR, 2024

Aligning Teacher with Student Preferences for Tailored Training Data Generation.
CoRR, 2024

Simulating Classroom Education with LLM-Empowered Agents.
CoRR, 2024

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation.
CoRR, 2024

Finding Safety Neurons in Large Language Models.
CoRR, 2024

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack.
CoRR, 2024

DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning.
CoRR, 2024

A Solution-based LLM API-using Methodology for Academic Information Seeking.
CoRR, 2024

Reverse That Number! Decoding Order Matters in Arithmetic Learning.
CoRR, 2024

Event-level Knowledge Editing.
CoRR, 2024

CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.
CoRR, 2024

Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.
CoRR, 2024

Event GDR: Event-Centric Generative Document Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Entity Set Expansion Based on Category Prompts in MOOCs.
Proceedings of the Knowledge Science, Engineering and Management, 2024

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024


KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ADELIE: Aligning Large Language Models on Information Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MAVEN-FACT: A Large-scale Event Factuality Detection Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LongAlign: A Recipe for Long Context Alignment of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TacoERE: Cluster-aware Compression for Event Relation Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evaluating Generative Language Models in Information Extraction as Subjective Question Correction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LC4EE: LLMs as Good Corrector for Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph.
Expert Syst. Appl., December, 2023

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation.
Expert Syst. Appl., April, 2023

Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph.
ACM Trans. Inf. Syst., 2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR, 2023

Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR, 2023

BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR, 2023

ChatLog: Recording and Analyzing ChatGPT Across Time.
CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023

Language-independent Taxonomy Derivation from Wikipedia via Multi-task Adversarial Learning.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving the Consistency of Semantic Parsing in KBQA Through Knowledge Distillation.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Construction of Multimodal Dialog System via Knowledge Graph in Travel Domain.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Fine-Grained Category Generation for Sets of Entities.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Learn to Not Link: Exploring NIL Prediction in Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Entity knowledge transfer-oriented dual-target cross-domain recommendations.
Expert Syst. Appl., 2022

EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph.
CoRR, 2022

Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension.
CoRR, 2022

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.
CoRR, 2022

Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing.
CoRR, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs.
CoRR, 2022

GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation.
CoRR, 2022

Schema-Free Dependency Parsing via Sequence Generation.
CoRR, 2022

ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment.
CoRR, 2022

Multimodal Entity Tagging with Multimodal Knowledge Base.
CoRR, 2022

DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On Transferability of Prompt Tuning for Natural Language Processing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Finding Skill Neurons in Pre-trained Transformer-based Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Syntactically Robust Training on Partially-Observed Data for Open Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Dependency Parsing via Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Triple-as-Node Knowledge Graph and Its Embeddings.
Proceedings of the Database Systems for Advanced Applications, 2022

UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Interactive Contrastive Learning for Self-Supervised Entity Alignment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CStory: A Chinese Large-scale News Storyline Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Program Transfer for Answering Complex Questions over Knowledge Bases.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
On Transferability of Prompt Tuning for Natural Language Understanding.
CoRR, 2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.
CoRR, 2021

Program Transfer and Ontology Awareness for Semantic Parsing in KBQA.
CoRR, 2021

TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation.
CoRR, 2021

A comprehensive survey of entity alignment for knowledge graphs.
AI Open, 2021

Encoding the Meaning Triangle (Object, Entity, and Concept) as the Semantic Foundation for Entity Alignment.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Expertise-Aware Crowdsourcing Taxonomy Enrichment.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Construction of Multimodal Chinese Tourism Knowledge Graph.
Proceedings of the Data Science, 2021

Learning Behavior-Aware Cognitive Diagnosis for Online Education Systems.
Proceedings of the Data Science, 2021

TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Iterative Strict Density-Based Clustering for News Stream.
Proceedings of the Information Retrieval - 27th China Conference, 2021

TWAG: A Topic-Guided Wikipedia Abstract Generator.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

CLEVE: Contrastive Pre-training for Event Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.
CoRR, 2020

Reinforcement Learning for Named Entity Recognition from Noisy Data.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Improving Low-Resource Chinese Event Detection with Multi-task Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2020

ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs.
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

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Type-Aware Open Information Extraction via Graph Augmentation Model.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

Sememe Tree Prediction for English-Chinese Word Pairs.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Event Detection via Open-domain Trigger Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Image Enhanced Event Detection in News Articles.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Geographical Information Enhanced POI Hierarchical Classification.
Proceedings of the Web Information Systems and Applications, 2020

2019
XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application.
Data Intell., 2019

Domain Adaptive Question Answering over Knowledge Base.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Event-Oriented Wiki Document Generation.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

DSEL: A Domain-Specific Entity Linking System.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity.
Proceedings of the Data Science, 2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations.
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 Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Multilingual Sentence Embeddings from Monolingual Corpus.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Leveraging Multi-head Attention Mechanism to Improve Event Detection.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

How Important Is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Embed Sentences Using Attentive Recursive Trees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Differentiating Concepts and Instances for Knowledge Graph Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2018

Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Neural Collective Entity Linking.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Metadata Extraction for Scientific Papers.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

Type Hierarchy Enhanced Heterogeneous Network Embedding for Fine-Grained Entity Typing in Knowledge Bases.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2017
Learning to Align Comments to News Topics.
ACM Trans. Inf. Syst., 2017

Adaptive online event detection in news streams.
Knowl. Based Syst., 2017

Cross-Lingual Infobox Alignment in Wikipedia Using Entity-Attribute Factor Graph.
Proceedings of the Semantic Web - ISWC 2017, 2017

XLink: An Unsupervised Bilingual Entity Linking System.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

2016
Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
NewsMiner: Multifaceted news analysis for event search.
Knowl. Based Syst., 2015

Target Detection and Knowledge Learning for Domain Restricted Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Personalized Model Combination for News Recommendation in Microblogs.
Proceedings of the Semantic Technology - 4th Joint International Conference, 2014

2013
What Users Care About: A Framework for Social Content Alignment.
Proceedings of the IJCAI 2013, 2013

2012
Co-mention and Context-Based Entity Linking.
Proceedings of the Semantic Web and Web Science, 2012

Exploration and Visualization of Administrator Network in Wikipedia.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

Personalized Diversity Search Based on User's Social Relationships.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2010
RiMOM results for OAEI 2010.
Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), 2010


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