Event Extraction

63 papers with code • 7 benchmarks • 8 datasets

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Greatest papers with code

OpenUE: An Open Toolkit of Universal Extraction from Text

zjunlp/openue EMNLP 2020

We introduce a prototype model and provide an open-source and extensible toolkit called OpenUE for various extraction tasks.

Event Extraction Intent Detection

Giveme5W1H: A Universal System for Extracting Main Events from News Articles

fhamborg/Giveme5W1H 6 Sep 2019

Event extraction from news articles is a commonly required prerequisite for various tasks, such as article summarization, article clustering, and news aggregation.

Event Extraction

Entity, Relation, and Event Extraction with Contextualized Span Representations

dwadden/dygiepp 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 Joint Entity and Relation Extraction +1

Deep Learning for Hate Speech Detection in Tweets

pinkeshbadjatiya/twitter-hatespeech 1 Jun 2017

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.

Event Extraction Hate Speech Detection +2

Event Extraction by Answering (Almost) Natural Questions

xinyadu/eeqa EMNLP 2020

The problem of event extraction requires detecting the event trigger and extracting its corresponding arguments.

Event Extraction Question Answering +1

Open Domain Event Extraction Using Neural Latent Variable Models

lx865712528/ACL2019-ODEE ACL 2019

We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters.

Event Extraction Latent Variable Models

Joint Extraction of Events and Entities within a Document Context

bishanyang/EventEntityExtractor NAACL 2016

Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon.

Document-level Entity Extraction using GAN +1