Unsupervised Aspect Term Extraction with B-LSTM \& CRF using Automatically Labelled Datasets

WS 2017 Athanasios GiannakopoulosClaudiu MusatAndreea HossmannMichael Baeriswyl

Aspect Term Extraction (ATE) identifies opinionated aspect terms in texts and is one of the tasks in the SemEval Aspect Based Sentiment Analysis (ABSA) contest. The small amount of available datasets for supervised ATE and the costly human annotation for aspect term labelling give rise to the need for unsupervised ATE... (read more)

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