The Berkeley Document Summarizer: Learning-Based, Single-Document Summarization

README.md

The Berkeley Document Summarizer is a learning-based single-document
summarization system. It compresses source document text based on constraints
from constituency parses and RST discourse parses. Moreover, it can improve
summary clarity by reexpressing pronouns whose antecedents would otherwise be
deleted or unclear.

Preamble

The Berkeley Document Summarizer is described in:

“Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints”
Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. ACL 2016.

See http://www.eecs.berkeley.edu/~gdurrett/ for papers and BibTeX.

Questions? Bugs? Email me at gdurrett@eecs.berkeley.edu

License

Copyright (c) 2013-2016 Greg Durrett. All Rights Reserved.

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more


Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/ynaD3ZMggOg/berkeley-doc-summarizer

Original article

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