Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision

@article{Giannakopoulos2017DatasetCV,
  title={Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision},
  author={Athanasios Giannakopoulos and Diego Antognini and Claudiu Musat and Andreea Hossmann and Michael Baeriswyl},
  journal={2017 IEEE International Conference on Data Mining Workshops (ICDMW)},
  year={2017},
  pages={373-380}
}
Aspect Term Extraction (ATE) detects opinionated aspect terms in sentences or text spans, with the end goal of performing aspect-based sentiment analysis. The small amount of available datasets for supervised ATE and the fact that they cover only a few domains raise the need for exploiting other data sources in new and creative ways. Publicly available… CONTINUE READING