{"total":66,"rows":[{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"area":"rag"},{"id":"2104.05919","title":"Document-Level Event Argument Extraction by Conditional Generation","created":"2021-04-13","cited_by_count":155,"area":null},{"id":"2106.09232","title":"Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction","created":"2021-06-17","cited_by_count":129,"area":null},{"id":"2203.09101","title":"RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction","created":"2022-03-17","cited_by_count":60,"area":"synth"},{"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":"2102.01386","title":"AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning","created":"2021-02-02","cited_by_count":48,"area":null},{"id":"2301.03282","title":"Universal Information Extraction as Unified Semantic Matching","created":"2023-01-09","cited_by_count":48,"area":null},{"id":"2110.06533","title":"EventBERT: A Pre-Trained Model for Event Correlation Reasoning","created":"2021-10-13","cited_by_count":40,"area":null},{"id":"2105.14485","title":"CLEVE: Contrastive Pre-training for Event Extraction","created":"2021-05-30","cited_by_count":36,"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":"2205.12505","title":"GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles","created":"2022-05-25","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":"2105.10922","title":"OntoED: Low-resource Event Detection with Ontology Embedding","created":"2021-05-23","cited_by_count":23,"area":null},{"id":"2112.10006","title":"Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey","created":"2021-12-18","cited_by_count":23,"area":null},{"id":"2305.05191","title":"COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective","created":"2023-05-09","cited_by_count":22,"area":"lr"},{"id":"2106.15167","title":"Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition","created":"2021-06-29","cited_by_count":21,"area":null},{"id":"2109.05213","title":"Uncovering Main Causalities for Long-tailed Information Extraction","created":"2021-09-11","cited_by_count":21,"area":null},{"id":"2109.12776","title":"Joint Multimedia Event Extraction from Video and Article","created":"2021-09-27","cited_by_count":19,"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":"2109.03322","title":"Corpus-based Open-Domain Event Type Induction","created":"2021-09-07","cited_by_count":18,"area":null},{"id":"2210.12463","title":"EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention","created":"2022-10-22","cited_by_count":17,"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":"2205.04515","title":"Unsupervised Slot Schema Induction for Task-oriented Dialog","created":"2022-05-09","cited_by_count":11,"area":null},{"id":"2211.01577","title":"Open-Vocabulary Argument Role Prediction for Event Extraction","created":"2022-11-03","cited_by_count":11,"area":null},{"id":"2211.05156","title":"Efficient Zero-shot Event Extraction with Context-Definition Alignment","created":"2022-11-09","cited_by_count":11,"area":null},{"id":"2106.06410","title":"What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data","created":"2021-06-11","cited_by_count":10,"area":null},{"id":"2106.12384","title":"Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations","created":"2021-06-23","cited_by_count":10,"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":"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":"2210.06254","title":"Zero-Shot On-the-Fly Event Schema Induction","created":"2022-10-12","cited_by_count":9,"area":null},{"id":"2302.04459","title":"Global Constraints with Prompting for Zero-Shot Event Argument Classification","created":"2023-02-09","cited_by_count":8,"area":null},{"id":"2403.02586","title":"Improving Event Definition Following For Zero-Shot Event Detection","created":"2024-03-05","cited_by_count":7,"area":null},{"id":"2111.01340","title":"Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks","created":"2021-11-02","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":"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":"2204.02531","title":"Improving Zero-Shot Event Extraction via Sentence Simplification","created":"2022-04-06","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":"2311.11271","title":"A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation","created":"2023-11-19","cited_by_count":5,"area":null},{"id":"2202.05943","title":"Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention","created":"2022-02-12","cited_by_count":4,"area":null},{"id":"2211.03252","title":"Zero-Shot Classification by Logical Reasoning on Natural Language Explanations","created":"2022-11-07","cited_by_count":4,"area":"lr"},{"id":"2305.08703","title":"Schema-adaptable Knowledge Graph Construction","created":"2023-05-15","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":"2211.08168","title":"Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems","created":"2022-11-15","cited_by_count":3,"area":null},{"id":"2402.18061","title":"On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction","created":"2024-02-28","cited_by_count":3,"area":null},{"id":"2405.13325","title":"DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying","created":"2024-05-22","cited_by_count":3,"area":null},{"id":"2411.04794","title":"KnowCoder-X: Boosting Multilingual Information Extraction via Code","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2502.17394","title":"SNaRe: Domain-aware Data Generation for Low-Resource Event Detection","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2111.05068","title":"Neural News Recommendation with Event Extraction","created":"2021-11-09","cited_by_count":2,"area":null},{"id":"2305.15051","title":"A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction","created":"2023-05-24","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":"2308.07876","title":"Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification","created":"2023-08-15","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":"2603.02909","title":"Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction","created":"2026-03-03","cited_by_count":2,"area":"agents"},{"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},{"id":"2305.12389","title":"SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction","created":"2023-05-21","cited_by_count":1,"area":null},{"id":"2404.16413","title":"Asking and Answering Questions to Extract Event-Argument Structures","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2606.06781","title":"When Better Codebooks Are Not Enough: Predictive Performance and Behavioral Reliability in LLM Political Event Coding","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2205.00387","title":"Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach","created":"2022-05-01","cited_by_count":0,"area":null},{"id":"2211.12157","title":"PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2303.16751","title":"Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge","created":"2023-03-23","cited_by_count":0,"area":null},{"id":"2408.16932","title":"Event Extraction for Portuguese: A QA-driven Approach using ACE-2005","created":"2024-08-29","cited_by_count":0,"area":null}],"next_cursor":null}