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- W2466066650 abstract "This paper describes aspect-based polarity detection system for Russian, used in aspectbased sentiment analysis task (ABSA) of SemEval-2016 (Task 5, subtask 1, slot 3). The system consists of two independent classifiers: for opinion target expressions and for implicit opinion target mentions. We introduce a set of standard unigram features together with more sophisticated ones: based on sentence syntactic structure and based on lemmas vector representation. Being applied to Russian restaurant reviews, our system achieved best quality among four participants." @default.
- W2466066650 created "2016-07-22" @default.
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- W2466066650 date "2016-01-01" @default.
- W2466066650 modified "2023-09-25" @default.
- W2466066650 title "MayAnd at SemEval-2016 Task 5: Syntactic and word2vec-based approach to aspect-based polarity detection in Russian" @default.
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- W2466066650 doi "https://doi.org/10.18653/v1/s16-1052" @default.
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