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Sentiment composition

Abstract:
Sentiment classification of grammatical constituents can be explained in a quasicompositional way. The classification of a complex constituent is derived via the classification of its component constituents and operations on these that resemble the usual methods of compositional semantic analysis. This claim is illustrated with a description of sentiment propagation, polarity reversal, and polarity conflict resolution within various linguistic constituent types at various grammatical levels. We propose a theoretical composition model, evaluate a lexical dependency parsing post-process implementation, and estimate its impact on general NLP pipelines.
Publication status:
Published
Peer review status:
Reviewed (other)

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Institution:
University of Oxford
Oxford college:
Somerville College
Role:
Author


Publisher:
ACL Anthology
Host title:
International Conference Recent Advances in Natural Language Processing, RANLP
Journal:
International Conference Recent Advances in Natural Language Processing, RANLP More from this journal
Pages:
378-382
Publication date:
2007-01-01
ISSN:
1313-8502
ISBN:
9789549174373


Keywords:
Pubs id:
pubs:610713
UUID:
uuid:a03e210a-7734-4059-a2c5-2803c232c10a
Local pid:
pubs:610713
Source identifiers:
610713
Deposit date:
2017-06-13
ARK identifier:

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