Learning Document-Level Semantic Properties from Free-Text Annotations

Learning Document-Level Semantic Properties from Free-Text Annotations

This paper presents a new method for inferring the semantic properties of documents by leveraging free-text keyphrase annotations. Such annotations are becoming increasingly abundant due to the recent dramatic growth in semi-structured, user-generated online content. One especially relevant domain i...

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Bibliographic Details
Main Authors: Branavan, Satchuthanan R., Chen, Harr, Eisenstein, Jacob, Barzilay, Regina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: AI Access Foundation 2011
Online Access:http://hdl.handle.net/1721.1/64415
https://orcid.org/0000-0002-2921-8201

Internet

http://hdl.handle.net/1721.1/64415
https://orcid.org/0000-0002-2921-8201

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