bloomberg/entsum
Open Source / ENTSUM: A Data Set for Entity-Centric Extractive Summarization
This project helps natural language processing researchers and developers create specialized training datasets for entity-centric summarization models. It takes large text datasets, identifies specific entities, resolves duplicates, and outputs a refined dataset ready for training models like BERTSum or GSum. This is ideal for those building summarization systems that focus on extracting information around particular people, places, or organizations.
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Use this if you need to prepare a dataset for training a summarization model that emphasizes specific entities within a document.
Not ideal if you are looking for a pre-trained summarization model or a general-purpose text summarization tool.
Stars
29
Forks
2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 23, 2022
Commits (30d)
0
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