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