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
Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis
To perform the experiments we introduce EusIE, an event extraction dataset for Basque, which follows the Multilingual Event Extraction dataset (MEE).
EFSA: Towards Event-Level Financial Sentiment Analysis
In this paper, we extend financial sentiment analysis~(FSA) to event-level since events usually serve as the subject of the sentiment in financial text.
Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports
This article argues that we can identify the events more accurately by leveraging the event taxonomy.
Pipelined Biomedical Event Extraction Rivaling Joint Learning
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event.
Prompt-based Graph Model for Joint Liberal Event Extraction and Event Schema Induction
Therefore, the researchers propose Liberal Event Extraction (LEE), which aims to extract events and discover event schemas simultaneously.
Advancing Biomedical Text Mining with Community Challenges
In this article, we review the recent advances in community challenges specific to Chinese biomedical text mining.
Improving Event Definition Following For Zero-Shot Event Detection
We hypothesize that a diverse set of event types and definitions are the key for models to learn to follow event definitions while existing event extraction datasets focus on annotating many high-quality examples for a few event types.
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models
In this study, we present EventRL, a reinforcement learning approach developed to enhance event extraction for large language models (LLMs).
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance
In this work, we explore a novel approach for supporting satellite-based flood index insurance by extracting high-resolution spatio-temporal information from news media.
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report
We provide a summary of the sixth edition of the CASE workshop that is held in the scope of RANLP 2023.
