RunxinXu/GIT
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
This tool helps researchers and natural language processing (NLP) engineers automatically identify and extract complex events described across multiple sentences in a document. It takes raw text documents as input and outputs structured records of events, including their arguments, even when those details are scattered. This is useful for anyone working with unstructured text to build knowledge graphs or enhance information retrieval systems.
106 stars. No commits in the last 6 months.
Use this if you need to extract specific event details that are mentioned across various sentences in a document and identify how different events within the same document are related.
Not ideal if your event extraction needs are limited to individual sentences or if you require an off-the-shelf, pre-trained solution without any setup.
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106
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Language
Python
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Last pushed
Jun 29, 2021
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