Event Extraction
136 papers with code • 8 benchmarks • 14 datasets
Determine the extent of the events in a text.
Other names: Event Tagging; Event Identification
Benchmarks
These leaderboards are used to track progress in Event Extraction
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Libraries
Use these libraries to find Event Extraction models and implementationsDatasets
GENIA
ACE 2005
SciREX
WikiEvents
ChFinAnn
Title2Event
Phee
EventNarrative
Latest papers with no code
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect
In this vein, we introduce the General Information Extraction Large Language Model (GIELLM), which integrates text Classification, Sentiment Analysis, Named Entity Recognition, Relation Extraction, and Event Extraction using a uniform input-output schema.
Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
Although previous methods attempt to address these challenges, they overlook the interference of event-unrelated sentences during event detection and neglect the mutual interference of different event roles during argument extraction.
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction
Most current Event Extraction (EE) methods focus on the high-resource scenario, which requires a large amount of annotated data and can hardly be applied to low-resource domains.
Guideline Learning for In-context Information Extraction
In this paper, we propose a Guideline Learning (GL) framework for In-context IE which reflectively learns and follows guidelines.
An APT Event Extraction Method Based on BERT-BiGRU-CRF for APT Attack Detection
To enhance the understanding of APT attacks, in this paper, a novel approach for extracting APT attack events from web texts is proposed.
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
This paper introduces a novel framework for document-level event extraction, incorporating a new data structure called token-event-role and a multi-channel argument role prediction module.
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Information extraction (IE) has been studied extensively.
Pushing the Limits of ChatGPT on NLP Tasks
In this work, we propose a collection of general modules to address these issues, in an attempt to push the limits of ChatGPT on NLP tasks.
Training Multimedia Event Extraction With Generated Images and Captions
Contemporary news reporting increasingly features multimedia content, motivating research on multimedia event extraction.
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
This paper explores methods for extracting information from radiology reports that generalize across exam modalities to reduce requirements for annotated data.
