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Enhanced Aspect Level Sentiment Classification with Auxiliary Memory
2018
International Conference on Computational Linguistics
In aspect level sentiment classification, there are two common tasks: to identify the sentiment of an aspect (category) or a term. As specific instances of aspects, terms explicitly occur in sentences. It is beneficial for models to focus on nearby context words. In contrast, as high level semantic concepts of terms, aspects usually have more generalizable representations. However, conventional methods cannot utilize the information of aspects and terms at the same time, because few datasets
dblp:conf/coling/ZhuQ18
fatcat:hwwzxgepzzanrn3qlkrenqc4sq