{"total":122,"rows":[{"id":"2111.01243","title":"Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey","created":"2021-11-01","cited_by_count":463,"area":null},{"id":"2302.10205","title":"ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT","created":"2023-02-20","cited_by_count":250,"area":null},{"id":"2203.12277","title":"Unified Structure Generation for Universal Information Extraction","created":"2022-03-23","cited_by_count":221,"area":null},{"id":"2312.17617","title":"Large Language Models for Generative Information Extraction: A Survey","created":"2023-12-29","cited_by_count":185,"area":null},{"id":"2304.08085","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","created":"2023-04-17","cited_by_count":170,"area":null},{"id":"2304.01852","title":"Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models","created":"2023-04-04","cited_by_count":154,"area":null},{"id":"2108.12724","title":"DEGREE: A Data-Efficient Generation-Based Event Extraction Model","created":"2021-08-29","cited_by_count":83,"area":null},{"id":"2303.03836","title":"Exploring the Feasibility of ChatGPT for Event Extraction","created":"2023-03-07","cited_by_count":76,"area":null},{"id":"2210.12810","title":"Code4Struct: Code Generation for Few-Shot Event Structure Prediction","created":"2022-10-23","cited_by_count":70,"area":null},{"id":"2202.12109","title":"Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction","created":"2022-02-24","cited_by_count":54,"area":null},{"id":"2210.12714","title":"Generative Knowledge Graph Construction: A Review","created":"2022-10-23","cited_by_count":49,"area":null},{"id":"2301.03282","title":"Universal Information Extraction as Unified Semantic Matching","created":"2023-01-09","cited_by_count":48,"area":null},{"id":"2109.02707","title":"Text-to-Table: A New Way of Information Extraction","created":"2021-09-06","cited_by_count":47,"area":null},{"id":"2203.08308","title":"Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction","created":"2022-03-15","cited_by_count":40,"area":null},{"id":"2305.14791","title":"Prompting Large Language Models for Counterfactual Generation: An Empirical Study","created":"2023-05-24","cited_by_count":37,"area":null},{"id":"2205.06166","title":"Dynamic Prefix-Tuning for Generative Template-based Event Extraction","created":"2022-05-12","cited_by_count":35,"area":null},{"id":"2305.08264","title":"MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling","created":"2023-05-14","cited_by_count":35,"area":null},{"id":"2403.07969","title":"KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction","created":"2024-03-12","cited_by_count":34,"area":null},{"id":"2304.09048","title":"CodeKGC: Code Language Model for Generative Knowledge Graph Construction","created":"2023-04-18","cited_by_count":28,"area":null},{"id":"2311.09562","title":"TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction","created":"2023-11-16","cited_by_count":28,"area":null},{"id":"2110.07476","title":"Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding","created":"2021-10-14","cited_by_count":26,"area":null},{"id":"2201.11332","title":"Ontology-enhanced Prompt-tuning for Few-shot Learning","created":"2022-01-27","cited_by_count":24,"area":null},{"id":"2208.07989","title":"DICE: Data-Efficient Clinical Event Extraction with Generative Models","created":"2022-08-16","cited_by_count":20,"area":null},{"id":"2305.16734","title":"AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model","created":"2023-05-26","cited_by_count":19,"area":null},{"id":"2306.06918","title":"The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation","created":"2023-06-12","cited_by_count":19,"area":null},{"id":"2203.12252","title":"Few-shot Named Entity Recognition with Self-describing Networks","created":"2022-03-23","cited_by_count":16,"area":null},{"id":"2306.00137","title":"A Sequence-to-Sequence&Set Model for Text-to-Table Generation","created":"2023-05-31","cited_by_count":16,"area":null},{"id":"2307.05567","title":"Event Extraction as Question Generation and Answering","created":"2023-07-10","cited_by_count":16,"area":null},{"id":"2205.12585","title":"TAGPRIME: A Unified Framework for Relational Structure Extraction","created":"2022-05-25","cited_by_count":15,"area":null},{"id":"2206.04045","title":"STable: Table Generation Framework for Encoder-Decoder Models","created":"2022-06-08","cited_by_count":15,"area":null},{"id":"2211.00869","title":"Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset","created":"2022-11-02","cited_by_count":14,"area":null},{"id":"2107.02126","title":"A Survey on Deep Learning Event Extraction: Approaches and Applications","created":"2021-07-05","cited_by_count":12,"area":null},{"id":"2301.02427","title":"Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction","created":"2023-01-06","cited_by_count":12,"area":null},{"id":"2401.13218","title":"ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement","created":"2024-01-24","cited_by_count":12,"area":null},{"id":"2306.08966","title":"Training Multimedia Event Extraction With Generated Images and Captions","created":"2023-06-15","cited_by_count":11,"area":null},{"id":"2309.14258","title":"OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding","created":"2023-09-25","cited_by_count":11,"area":null},{"id":"2310.05185","title":"Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction","created":"2023-10-08","cited_by_count":11,"area":null},{"id":"2202.08063","title":"Information Extraction in Low-Resource Scenarios: Survey and Perspective","created":"2022-02-16","cited_by_count":10,"area":null},{"id":"2208.13017","title":"A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck","created":"2022-08-27","cited_by_count":10,"area":null},{"id":"2306.00502","title":"Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?","created":"2023-06-01","cited_by_count":10,"area":null},{"id":"2310.05991","title":"Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance","created":"2023-10-08","cited_by_count":10,"area":null},{"id":"2109.05747","title":"Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention","created":"2021-09-13","cited_by_count":9,"area":null},{"id":"2204.07241","title":"The Art of Prompting: Event Detection based on Type Specific Prompts","created":"2022-04-14","cited_by_count":9,"area":null},{"id":"2410.03594","title":"Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments","created":"2024-10-04","cited_by_count":9,"area":null},{"id":"2206.03377","title":"RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction","created":"2022-06-07","cited_by_count":8,"area":null},{"id":"2204.05210","title":"Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling","created":"2022-04-11","cited_by_count":7,"area":null},{"id":"2304.14770","title":"RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction","created":"2023-04-28","cited_by_count":7,"area":null},{"id":"2306.14913","title":"FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction","created":"2023-06-19","cited_by_count":7,"area":null},{"id":"2311.09733","title":"MOKA: Moral Knowledge Augmentation for Moral Event Extraction","created":"2023-11-16","cited_by_count":7,"area":null},{"id":"2511.07587","title":"Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces","created":"2025-11-10","cited_by_count":7,"area":null},{"id":"2110.04525","title":"Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works","created":"2021-10-09","cited_by_count":6,"area":null},{"id":"2210.10709","title":"Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction","created":"2022-10-19","cited_by_count":6,"area":null},{"id":"2303.08335","title":"FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization","created":"2023-03-15","cited_by_count":6,"area":null},{"id":"2305.07280","title":"Harvesting Event Schemas from Large Language Models","created":"2023-05-12","cited_by_count":6,"area":null},{"id":"2305.13469","title":"MAILEX: Email Event and Argument Extraction","created":"2023-05-22","cited_by_count":6,"area":null},{"id":"2305.15090","title":"STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2308.07791","title":"Informed Named Entity Recognition Decoding for Generative Language Models","created":"2023-08-15","cited_by_count":6,"area":null},{"id":"2310.05092","title":"Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction","created":"2023-10-08","cited_by_count":6,"area":null},{"id":"2311.09105","title":"MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation","created":"2023-11-15","cited_by_count":6,"area":null},{"id":"2404.03532","title":"Evaluating Generative Language Models in Information Extraction as Subjective Question Correction","created":"2024-04-04","cited_by_count":6,"area":null},{"id":"2404.12242","title":"CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News","created":"2024-04-18","cited_by_count":6,"area":null},{"id":"2406.01045","title":"Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs","created":"2024-06-03","cited_by_count":6,"area":null},{"id":"2108.10038","title":"Event Extraction by Associating Event Types and Argument Roles","created":"2021-08-23","cited_by_count":5,"area":null},{"id":"2111.03212","title":"An overview of event extraction and its applications","created":"2021-11-05","cited_by_count":5,"area":null},{"id":"2305.01901","title":"Few-shot Event Detection: An Empirical Study and a Unified View","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2305.09193","title":"Easy-to-Hard Learning for Information Extraction","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2308.09156","title":"Characterizing Information Seeking Events in Health-Related Social Discourse","created":"2023-08-17","cited_by_count":5,"area":null},{"id":"2310.10481","title":"DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction","created":"2023-10-16","cited_by_count":5,"area":null},{"id":"2210.08646","title":"EventGraph: Event Extraction as Semantic Graph Parsing","created":"2022-10-16","cited_by_count":4,"area":null},{"id":"2305.08703","title":"Schema-adaptable Knowledge Graph Construction","created":"2023-05-15","cited_by_count":4,"area":null},{"id":"2305.18926","title":"Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization","created":"2023-05-30","cited_by_count":4,"area":null},{"id":"2306.17695","title":"A New Task and Dataset on Detecting Attacks on Human Rights Defenders","created":"2023-06-30","cited_by_count":4,"area":null},{"id":"2403.00801","title":"Self-Retrieval: End-to-End Information Retrieval with One Large Language Model","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2403.09721","title":"A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction","created":"2024-03-12","cited_by_count":4,"area":null},{"id":"2404.00826","title":"Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods","created":"2024-03-31","cited_by_count":4,"area":null},{"id":"2506.12925","title":"Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attacks","created":"2025-06-15","cited_by_count":4,"area":null},{"id":"2205.12490","title":"Improve Event Extraction via Self-Training with Gradient Guidance","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2210.03419","title":"Event Extraction: A Survey","created":"2022-10-07","cited_by_count":3,"area":null},{"id":"2210.16064","title":"DORE: Document Ordered Relation Extraction based on Generative Framework","created":"2022-10-28","cited_by_count":3,"area":null},{"id":"2212.03747","title":"Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review","created":"2022-12-07","cited_by_count":3,"area":null},{"id":"2305.09598","title":"Boosting Event Extraction with Denoised Structure-to-Text Augmentation","created":"2023-05-16","cited_by_count":3,"area":null},{"id":"2305.16357","title":"EDM3: Event Detection as Multi-task Text Generation","created":"2023-05-25","cited_by_count":3,"area":null},{"id":"2401.15385","title":"Towards Event Extraction from Speech with Contextual Clues","created":"2024-01-27","cited_by_count":3,"area":null},{"id":"2402.11430","title":"EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models","created":"2024-02-18","cited_by_count":3,"area":null},{"id":"2406.04555","title":"Creating an AI Observer: Generative Semantic Workspaces","created":"2024-06-07","cited_by_count":3,"area":null},{"id":"2409.11673","title":"RUIE: Retrieval-based Unified Information Extraction using Large Language Model","created":"2024-09-18","cited_by_count":3,"area":null},{"id":"2210.07916","title":"Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2210.15843","title":"Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction","created":"2022-10-28","cited_by_count":2,"area":null},{"id":"2305.13617","title":"SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2305.17373","title":"Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning","created":"2023-05-27","cited_by_count":2,"area":null},{"id":"2306.14633","title":"JSEEGraph: Joint Structured Event Extraction as Graph Parsing","created":"2023-06-26","cited_by_count":2,"area":null},{"id":"2310.04949","title":"Domain Knowledge Graph Construction Via A Simple Checker","created":"2023-10-08","cited_by_count":2,"area":null},{"id":"2404.04763","title":"GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling","created":"2024-04-07","cited_by_count":2,"area":null},{"id":"2404.06392","title":"Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis","created":"2024-04-09","cited_by_count":2,"area":null},{"id":"2406.06577","title":"RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts","created":"2024-06-04","cited_by_count":2,"area":null},{"id":"2406.16021","title":"Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm","created":"2024-06-23","cited_by_count":2,"area":null},{"id":"2408.06583","title":"A Structure-aware Generative Model for Biomedical Event Extraction","created":"2024-08-13","cited_by_count":2,"area":null},{"id":"2505.16107","title":"MPL: Multiple Programming Languages with Large Language Models for Information Extraction","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2202.03092","title":"Document-Level Event Extraction via Human-Like Reading Process","created":"2022-02-07","cited_by_count":1,"area":null},{"id":"2202.07615","title":"P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization","created":"2022-02-15","cited_by_count":1,"area":null}],"next_cursor":"100"}