hieumdt/SCS-EERE
This repo contains our PyTorch implementation for the paper Selecting Optimal Context Sentences for Event-Event Relation Extraction.
This project helps natural language processing researchers evaluate methods for automatically identifying relationships between events described in text. It takes a text corpus (like news articles or clinical notes) and a pre-trained language model, then outputs trained models that can extract specific event-event relationships, such as causation or temporal order. This is useful for computational linguists and AI researchers working on advanced text understanding.
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Use this if you are a researcher focused on improving the accuracy of event relation extraction in scientific documents or specialized text corpora.
Not ideal if you are looking for a ready-to-use application to extract event relations without a research focus.
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Language
Python
License
Apache-2.0
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Last pushed
Nov 25, 2023
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