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Event Argument Extraction

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Showing 1–50 of 75 papers

TitleStatusHype
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event UnderstandingCode2
The Devil is in the Details: On the Pitfalls of Event Extraction EvaluationCode2
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
Event Extraction by Answering (Almost) Natural QuestionsCode1
Bi-Directional Iterative Prompt-Tuning for Event Argument ExtractionCode1
Few-Shot Document-Level Event Argument ExtractionCode1
Document-Level Event Argument Extraction by Conditional GenerationCode1
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument RolesCode1
An AMR-based Link Prediction Approach for Document-level Event Argument ExtractionCode1
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument ExtractionCode1
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument ExtractionCode1
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?Code1
Dynamic Global Memory for Document-level Argument ExtractionCode1
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument ExtractionCode1
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument AnnotationCode1
Code4Struct: Code Generation for Few-Shot Event Structure PredictionCode1
LeTI: Learning to Generate from Textual InteractionsCode1
Retrieval-Augmented Generative Question Answering for Event Argument ExtractionCode1
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role RelevanceCode1
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction ModelCode1
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument ExtractionCode1
A Two-Stream AMR-enhanced Model for Document-level Event Argument ExtractionCode1
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument ExtractionCode1
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic—0
Improving Zero-Shot Event Extraction via Sentence Simplification—0
基于阅读理解框架的中文事件论元抽取(Chinese Event Argument Extraction using Reading Comprehension Framework)—0
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies—0
Learning to Ask for Data-Efficient Event Argument Extraction—0
Leveraging Multilingual Training for Limited Resource Event Extraction—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types—0
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures—0
A Compressive Memory-based Retrieval Approach for Event Argument Extraction—0
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck—0
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction—0
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder—0
Utilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction—0
Causal Intervention-based Prompt Debiasing for Event Argument Extraction—0
Creating a Fine Grained Entity Type Taxonomy Using LLMs—0
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction—0
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs—0
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying—0
Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss—0
Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss—0
Document-Level Event Argument Extraction via Optimal Transport—0
PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction—0
Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs—0
Event Argument Extraction using Causal Knowledge Structures—0
Event Argument Extraction with Enriched Prompts—0
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