Title |
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 RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and
EditorConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding
Dataset with Event Argument AnnotationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Xiaozhi Wang Hao Peng Yong Guan Kaisheng Zeng Jianhui Chen ...Yankai Lin Zhiyuan Liu Ruobing Xie Jie Zhou Juanzi Li |
 FAMuS: Frames Across Multiple SourcesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 FollowBench: A Multi-level Fine-grained Constraints Following Benchmark
for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 From Simple to Complex: A Progressive Framework for Document-level
Informative Argument ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Probing Representations for Document-level Event ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Enhancing Document-level Event Argument Extraction with Contextual Clues
and Role RelevanceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionInternational Conference on Learning Representations (ICLR), 2023 |
 OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event
UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Characterizing Information Seeking Events in Health-Related Social
DiscourseAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot
Political Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Event Extraction as Question Generation and AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 The Devil is in the Details: On the Pitfalls of Event Extraction
EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Revisiting Event Argument Extraction: Can EAE Models Learn Better When
Being Aware of Event Co-occurrences?Annual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 A Sequence-to-Sequence&Set Model for Text-to-Table GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 An AMR-based Link Prediction Approach for Document-level Event Argument
ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Document-Level Multi-Event Extraction with Event Proxy Nodes and
Hausdorff Distance MinimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction
ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 STAR: Boosting Low-Resource Information Extraction by Structure-to-Text
Data Generation with Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 ManiTweet: A New Benchmark for Identifying Manipulation of News on
Social MediaInternational Conference on Computational Linguistics (COLING), 2023 |
 MAILEX: Email Event and Argument ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Boosting Event Extraction with Denoised Structure-to-Text AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Can Large Language Models Transform Computational Social Science?International Conference on Computational Logic (ICCL), 2023 |
 GLEN: General-Purpose Event Detection for Thousands of TypesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 On Event Individuation for Document-Level Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Open Relation and Event Type Discovery with Type AbstractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Retrieval-Augmented Generative Question Answering for Event Argument
ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Xinya Du Heng Ji |
 MEE: A Novel Multilingual Event Extraction DatasetConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Open-Vocabulary Argument Role Prediction for Event ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 DORE: Document Ordered Relation Extraction based on Generative FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Bi-Directional Iterative Prompt-Tuning for Event Argument ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Code4Struct: Code Generation for Few-Shot Event Structure PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Generative Knowledge Graph Construction: A ReviewConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph
ConstructionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 |
 EventGraph: Event Extraction as Semantic Graph ParsingCASE (CASE), 2022 |
 Iterative Document-level Information Extraction via Imitation LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
