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Event Extraction by Answering (Almost) Natural Questions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
28 April 2020
Xinya Du
Claire Cardie
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Papers citing
"Event Extraction by Answering (Almost) Natural Questions"
50 / 169 papers shown
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Keyword-Centric Prompting for One-Shot Event Detection with Self-Generated Rationale Enhancements
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Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
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339
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REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
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357
1
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Event Argument Extraction with Enriched Prompts
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256
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Jeffrey Kwan
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434
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358
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Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
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298
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Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
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Ricardo Campos
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241
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Ricardo Campos
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296
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Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events
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426
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222
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364
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RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
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234
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336
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Targeted Augmentation for Low-Resource Event Extraction
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395
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Eduardo Blanco
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223
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CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
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Zijie Xu
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Kaiming Xiao
Mao Wang
Wenjun Ke
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298
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Small Models Are (Still) Effective Cross-Domain Argument Extractors
William Gantt
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180
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Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis
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Mikel Zubillaga
Oscar Sainz
A. Estarrona
Oier López de Lacalle
Eneko Agirre
359
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Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
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Enfa Rose George
Eduardo Blanco
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218
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Sentence-level Media Bias Analysis with Event Relation Graph
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Ruihong Huang
351
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Event Detection from Social Media for Epidemic Prediction
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Tanmay Parekh
Anh Mac
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Yuxuan Dong
Syed Shahriar
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Wei Wang
Nanyun Peng
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316
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A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
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Jian Zhang
Chang-Qing Yang
Haiping Zhu
Qika Lin
Fangzhi Xu
Jun Liu
325
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Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types
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259
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Po-Nien Kung
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Baobao Chang
P. Brantingham
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Nanyun Peng
374
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EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models
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271
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ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement
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Xinliang Frederick Zhang
Carter Blum
Temma Choji
Shalin S Shah
Alakananda Vempala
361
6
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Promptly Predicting Structures: The Return of Inference
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443
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378
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280
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TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
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548
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