2025
Empirical Evaluation of Prompting Strategies for Fact Verification Tasks.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation.
CoRR, 2024
ComFairGNN: Community Fair Graph Neural Network.
CoRR, 2024
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style.
CoRR, 2024
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation.
CoRR, 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
GenDecider: Integrating "None of the Candidates" Judgments in Zero-Shot Entity Linking Re-ranking.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Individual Fairness in Graphs Using Local and Global Structural Information.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
2023
An Empirical Study of Using ChatGPT for Fact Verification Task.
CoRR, 2023
Beryllium: Neural Search for Algorithm Implementations.
CoRR, 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
CoRec: An Easy Approach for Coordination Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Improving Distantly Supervised Relation Extraction by Natural Language Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States.
Entropy, 2022
CPTAM: Constituency Parse Tree Aggregation Method.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Rogue people: on adversarial crowdsourcing in the context of cyber security.
J. Inf. Commun. Ethics Soc., 2021
Data Poisoning Attacks and Defenses to Crowdsourcing Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Truth Discovery in Sequence Labels from Crowds.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data, 2020
Partially-Typed NER Datasets Integration: Connecting Practice to Theory.
CoRR, 2020
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Pattern-enhanced Named Entity Recognition with Distant Supervision.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences.
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
2019
Towards Confidence Interval Estimation in Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2019
AutoRepair: an automatic repairing approach over multi-source data.
Knowl. Inf. Syst., 2019
Scalable GW software for quasiparticle properties using OpenAtom.
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Comput. Phys. Commun., 2019
A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts.
Proceedings of the World Wide Web Conference, 2019
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Towards Quality Aware Information Integration in Distributed Sensing Systems.
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IEEE Trans. Parallel Distributed Syst., 2018
Finding Similar Medical Questions from Question Answering Websites.
CoRR, 2018
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Online Truth Discovery on Time Series Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Towards Data Poisoning Attacks in Crowd Sensing Systems.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Dynamic Truth Discovery on Numerical Data.
Proceedings of the IEEE International Conference on Data Mining, 2018
Towards Personalized Learning in Mobile Sensing Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016
Crowdsourcing High Quality Labels with a Tight Budget.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities.
Proceedings of the High Performance Computing - 31st International Conference, 2016
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Mining Reliable Information from Passively and Actively Crowdsourced Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Influence-Aware Truth Discovery.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
A Survey on Truth Discovery.
SIGKDD Explor., 2015
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
Proc. VLDB Endow., 2015
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
On the Discovery of Evolving Truth.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
Proc. VLDB Endow., 2014
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014
Generalized Decision Aggregation in Distributed Sensing Systems.
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Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014
Crowdsourcing for Multiple-Choice Question Answering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
EEG-channel selection based on difference analysis of mental activities.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013