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. (Contributor), Chen, Harr (Contributor), Eisenstein, Jacob (Contributor), Barzilay, Regina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: AI Access Foundation, 2011-06-13T15:46:45Z.
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