{"total":13,"rows":[{"id":"2211.07342","title":"MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction","created":"2022-11-14","cited_by_count":66,"area":null},{"id":"2306.02051","title":"A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers","created":"2023-06-03","cited_by_count":22,"area":null},{"id":"2204.04391","title":"MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective","created":"2022-04-09","cited_by_count":17,"area":null},{"id":"2210.04992","title":"Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction","created":"2022-10-10","cited_by_count":15,"area":null},{"id":"2305.17607","title":"More than Classification: A Unified Framework for Event Temporal Relation Extraction","created":"2023-05-28","cited_by_count":15,"area":null},{"id":"2302.04985","title":"Event Temporal Relation Extraction with Bayesian Translational Model","created":"2023-02-10","cited_by_count":10,"area":null},{"id":"2404.01532","title":"Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation","created":"2024-04-01","cited_by_count":8,"area":null},{"id":"2210.12902","title":"Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2406.18449","title":"Cascading Large Language Models for Salient Event Graph Generation","created":"2024-06-26","cited_by_count":3,"area":null},{"id":"2506.12978","title":"Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation","created":"2025-06-15","cited_by_count":2,"area":null},{"id":"2508.20828","title":"GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2504.07470","title":"Transformer-Based Temporal Information Extraction and Application: A Review","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2511.03610","title":"A systematic review of relation extraction task since the emergence of Transformers","created":"2025-11-05","cited_by_count":1,"area":null}],"next_cursor":null}