Event Extraction
134 papers with code • 8 benchmarks • 14 datasets
Determine the extent of the events in a text.
Other names: Event Tagging; Event Identification
Libraries
Use these libraries to find Event Extraction models and implementationsDatasets
Most implemented papers
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
Event Extraction bridges the gap between text and event signals.
COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthcare agencies in addressing it.
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
Then, we incorporate the extracted events into court view generation by merging case facts and events.
Description of the Odin Event Extraction Framework and Rule Language
Here we include a thorough definition of the Odin rule language, together with a description of the Odin API in the Scala language, which allows one to apply these rules to arbitrary texts.
Joint Extraction of Events and Entities within a Document Context
Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon.
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models
Event trigger identification is an important first step in all event extraction methods.
Deep Learning for Hate Speech Detection in Tweets
Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.
Zero-Shot Transfer Learning for Event Extraction
Most previous event extraction studies have relied heavily on features derived from annotated event mentions, thus cannot be applied to new event types without annotation effort.