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- W2160511800 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." @default.
- W2160511800 created "2016-06-24" @default.
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- W2160511800 date "2008-07-01" @default.
- W2160511800 modified "2023-09-26" @default.
- W2160511800 title "Mining Chinese comparative sentences by semantic role labeling" @default.
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- W2160511800 doi "https://doi.org/10.1109/icmlc.2008.4620840" @default.
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