Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

ACL 2019 Dehong MaSujian LiFangzhao WuXing XieHoufeng Wang

Aspect term extraction (ATE) aims at identifying all aspect terms in a sentence and is usually modeled as a sequence labeling problem. However, sequence labeling based methods cannot make full use of the overall meaning of the whole sentence and have the limitation in processing dependencies between labels... (read more)

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