Document-level Event Extraction
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Benchmarks
ChFinAnn
Most implemented
Are Triggers Needed for Document-Level Event Extraction?
Document-level Event Extraction via Parallel Prediction Networks
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Papers
Are Triggers Needed for Document-Level Event Extraction?
Most existing work on event extraction has focused on sentence-level texts and presumes the identification of a trigger-span -- a word or phrase in the input that evokes the occurrence of an event of interest. Event argu…
Document-level Event ExtractionEvent ExtractionSentenceDocument-Level Event Extraction with Definition-Driven ICL
In the field of Natural Language Processing (NLP), Large Language Models (LLMs) have shown great potential in document-level event extraction tasks, but existing methods face challenges in the design of prompts. To addre…
Document-level Event ExtractionEvent ExtractionPrompt EngineeringHarvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the roles of different event arguments may be b…
coreference-resolutionCoreference ResolutionDocument-level Event ExtractionEvent ExtractionCMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
Extracting structured event knowledge, including event triggers and corresponding arguments, from military texts is fundamental to many applications, such as intelligence analysis and decision assistance. However, event …
Document-level Event ExtractionEvent ExtractionEvent-Keyed Summarization
We introduce event-keyed summarization (EKS), a novel task that marries traditional summarization and document-level event extraction, with the goal of generating a contextualized summary for a specific event, given a do…
Document-level Event ExtractionEvent ExtractionProbing Representations for Document-level Event Extraction
The probing classifiers framework has been employed for interpreting deep neural network models for a variety of natural language processing (NLP) applications. Studies, however, have largely focused on sentencelevel NLP…
Document-level Event ExtractionEvent ExtractionProbing Language ModelsSentence