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Greatest papers with code

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

6 Sep 2019fhamborg/Giveme5W1H

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

IJCNLP 2019 dwadden/dygiepp

We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.

 Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric, using extra training data)

EVENT EXTRACTION JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION

Deep Learning for Hate Speech Detection in Tweets

1 Jun 2017pinkeshbadjatiya/twitter-hatespeech

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 SENTIMENT ANALYSIS WORD EMBEDDINGS

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

IJCNLP 2019 dolphin-zs/Doc2EDAG

Most existing event extraction (EE) methods merely extract event arguments within the sentence scope.

EVENT EXTRACTION

Joint Extraction of Events and Entities within a Document Context

NAACL 2016 bishanyang/EventEntityExtractor

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

ENTITY EXTRACTION USING GAN EVENT EXTRACTION

Open Domain Event Extraction Using Neural Latent Variable Models

ACL 2019 lx865712528/ACL2019-ODEE

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

EVENT EXTRACTION LATENT VARIABLE MODELS

Text Annotation Graphs: Annotating Complex Natural Language Phenomena

LREC 2018 CreativeCodingLab/TextAnnotationGraphs

Additionally, we include an approach to representing text annotations in which annotation subgraphs, or semantic summaries, are used to show relationships outside of the sequential context of the text itself.

EVENT EXTRACTION