Investigating LSTMs for Joint Extraction of Opinion Entities and Relations

@inproceedings{Katiyar2016InvestigatingLF,
  title={Investigating LSTMs for Joint Extraction of Opinion Entities and Relations},
  author={Arzoo Katiyar and Claire Cardie},
  booktitle={ACL},
  year={2016}
}
We investigate the use of deep bidirectional LSTMs for joint extraction of opinion entities and the IS-FROM and ISABOUT relations that connect them — the first such attempt using a deep learning approach. Perhaps surprisingly, we find that standard LSTMs are not competitive with a state-of-the-art CRF+ILP joint inference approach (Yang and Cardie, 2013) to opinion entities extraction, performing below even the standalone sequencetagging CRF. Incorporating sentence-level and a novel relation… CONTINUE READING
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