Papers Event Argument Extraction
“Event Argument Extraction” 태그가 달린 논문 75편 · 필터 해제
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
Event argument extraction identifies arguments for predefined event roles in text. Traditional evaluations rely on exact match (EM), requiring predicted arguments to match annotated spans exactly. However, this approach …
Event Argument ExtractionvalidEvent Argument Extraction with Enriched Prompts
This work aims to delve deeper into prompt-based event argument extraction (EAE) models. We explore the impact of incorporating various types of information into the prompt on model performance, including trigger, other …
Event Argument ExtractionOne Small and One Large for Document-level Event Argument Extraction
Document-level Event Argument Extraction (EAE) faces two challenges due to increased input length: 1) difficulty in distinguishing semantic boundaries between events, and 2) interference from redundant information. To ad…
Event Argument ExtractionA Compressive Memory-based Retrieval Approach for Event Argument Extraction
Recent works have demonstrated the effectiveness of retrieval augmentation in the Event Argument Extraction (EAE) task. However, existing retrieval-based EAE methods have two main limitations: (1) input length constraint…
DiversityEvent Argument ExtractionRetrievalEnhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
Event Argument Extraction (EAE) is pivotal for extracting structured information from unstructured text, yet it remains challenging due to the complexity of real-world document-level EAE. We propose a novel Definition-au…
Event Argument ExtractionEvent-Arguments Extraction Corpus and Modeling using BERT for Arabic
Event-argument extraction is a challenging task, particularly in Arabic due to sparse linguistic resources. To fill this gap, we introduce the \hadath corpus ($550$k tokens) as an extension of Wojood, enriched with event…
Event Argument ExtractionEvent Relation ExtractionRelationRelation ExtractionMMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling
With the advancement of multimedia technologies, news documents and user-generated content are often represented as multiple modalities, making Multimedia Event Extraction (MEE) an increasingly important challenge. Howev…
Data AugmentationEvent Argument ExtractionEvent ExtractionDecompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
Large Language Models (LLMs) demonstrate significant capabilities in processing natural language data, promising efficient knowledge extraction from diverse textual sources to enhance situational awareness and support de…
Decision MakingEvent Argument ExtractionEvent DetectionEvent Extraction+3DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Recent advancements in event argument extraction (EAE) involve incorporating useful auxiliary information into models during training and inference, such as retrieved instances and event templates. These methods face two…
Event Argument ExtractionRetrievalBeyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
Recent mainstream event argument extraction methods process each event in isolation, resulting in inefficient inference and ignoring the correlations among multiple events. To address these limitations, here we propose a…
Event Argument ExtractionEvent ExtractionSmall Models Are (Still) Effective Cross-Domain Argument Extractors
Effective ontology transfer has been a major goal of recent work on event argument extraction (EAE). Two methods in particular -- question answering (QA) and template infilling (TI) -- have emerged as promising approache…
Event Argument ExtractionQuestion AnsweringSentenceGenerating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
This paper presents multiple question generation strategies for document-level event argument extraction. These strategies do not require human involvement and result in uncontextualized questions as well as contextualiz…
Event Argument ExtractionQuestion GenerationQuestion-GenerationLarge Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types
Event Argument Extraction (EAE) is an extremely difficult information extraction problem -- with significant limitations in few-shot cross-domain (FSCD) settings. A common solution to FSCD modeling is data augmentation. …
Data AugmentationEvent Argument ExtractionCreating a Fine Grained Entity Type Taxonomy Using LLMs
In this study, we investigate the potential of GPT-4 and its advanced iteration, GPT-4 Turbo, in autonomously developing a detailed entity type taxonomy. Our objective is to construct a comprehensive taxonomy, starting f…
Event Argument ExtractionRelation ExtractionConstrained Decoding for Cross-lingual Label Projection
Zero-shot cross-lingual transfer utilizing multilingual LLMs has become a popular learning paradigm for low-resource languages with no labeled training data. However, for NLP tasks that involve fine-grained predictions o…
Cross-Lingual TransferEvent Argument Extractionnamed-entity-recognitionNamed Entity Recognition+4ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Refinement
Structural extraction of events within discourse is critical since it avails a deeper understanding of communication patterns and behavior trends. Event argument extraction (EAE), at the core of event-centric understandi…
Event Argument ExtractionMAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
Understanding events in texts is a core objective of natural language understanding, which requires detecting event occurrences, extracting event arguments, and analyzing inter-event relationships. However, due to the an…
AllEvent Argument ExtractionEvent DetectionEvent Relation Extraction+2LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
In this study, we investigate in-context learning (ICL) in document-level event argument extraction (EAE) to alleviate the dependency on large-scale labeled data for this task. We introduce the Heuristic-Driven Link-of-A…
Event Argument ExtractionIn-Context LearningNatural Language InferenceSentiment AnalysisFrom Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
Document-level Event Argument Extraction (EAE) requires the model to extract arguments of multiple events from a single document. Considering the underlying dependencies between these events, recent efforts leverage the …
Event Argument ExtractionUtilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction
Document-level event argument extraction is a crucial yet challenging task within the field of information extraction. Current mainstream approaches primarily focus on the information interaction between event triggers a…
Event Argument Extraction