Aspect and Opinion Term Extraction Using Graph Attention Network

arXiv:2404.19260v1 Announce Type: new
Abstract: In this work we investigate the capability of Graph Attention Network for extracting aspect and opinion terms. Aspect and opinion term extraction is posed as a token-level classification task akin to named entity recognition. We use the dependency tree of the input query as additional feature in a Graph Attention Network along with the token and part-of-speech features. We show that the dependency structure is a powerful feature that in the presence of a CRF …

abstract arxiv attention capability classification cs.cl extraction feature graph network opinion query recognition terms token tree type work