NDLI: Mining Chinese comparative sentences by semantic role labeling

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Mining Chinese comparative sentences by semantic role labeling

Content Provider	IEEE Xplore Digital Library
Author	Feng Hou Guo-Hui Li
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha (Feng Hou; Guo-Hui Li)
Abstract	This paper studies the problem of mining Chinese comparative sentences in text documents by using semantic role labeling (SRL). The comparative opinion can be divided into six semantic roles: holder, entity 1, comparative predicates, entity 2, attributes and sentiments. These six opinion elements were recognized and labeled by using SRL. A corpus of Chinese comparative sentences was manually labeled at first. Then a conditional random fields (CRFs) model was trained by learn from the corpus. Finally new comparative sentences were labeled by using this CRFs model, and comparative relations were extracted afterward.
Starting Page	2563
Ending Page	2568
File Size	345272
Page Count	6
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Labeling Machine learning Data mining Book reviews Feature extraction Training data Cybernetics Conditional random fields Opinion mining Comparative sentences Semantic role labeling
Content Type	Text
Resource Type	Article

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