Event Extraction
110 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
ChFinAnn
WikiEvents
EventNarrative
Title2Event
Phee
Most implemented papers
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
lx865712528/JMEE
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EMNLP 2018
Event extraction is of practical utility in natural language processing.
Entity, Relation, and Event Extraction with Contextualized Span Representations
dwadden/dygiepp
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IJCNLP 2019
We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.
Event Extraction by Answering (Almost) Natural Questions
The problem of event extraction requires detecting the event trigger and extracting its corresponding arguments.
From POS tagging to dependency parsing for biomedical event extraction
Results: We perform an empirical study comparing state-of-the-art traditional feature-based and neural network-based models for two core natural language processing tasks of part-of-speech (POS) tagging and dependency parsing on two benchmark biomedical corpora, GENIA and CRAFT.
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
dolphin-zs/Doc2EDAG
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IJCNLP 2019
Most existing event extraction (EE) methods merely extract event arguments within the sentence scope.
Giveme5W1H: A Universal System for Extracting Main Events from News Articles
Event extraction from news articles is a commonly required prerequisite for various tasks, such as article summarization, article clustering, and news aggregation.
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
RunxinXu/GIT
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ACL 2021
Existing methods are not effective due to two challenges of this task: a) the target event arguments are scattered across sentences; b) the correlation among events in a document is non-trivial to model.
Document-level Event Extraction via Parallel Prediction Networks
hangyang-nlp/de-ppn
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ACL 2021
We argue that sentence-level extractors are ill-suited to the DEE task where event arguments always scatter across sentences and multiple events may co-exist in a document.
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
pluslabnlp/degree
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NAACL 2022
Given a passage and a manually designed prompt, DEGREE learns to summarize the events mentioned in the passage into a natural sentence that follows a predefined pattern.
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
shijie-wu/crosslingual-nlp
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EMNLP 2021
Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other language, typically English.
