Abstract
The current paper covers several strategies we used to ‘break’ predictions of sentiment analysis systems participating in the BLGNLP2017 workshop. Specifically, we identify difficulties of participating systems in understanding modals, subjective judgments, world-knowledge based references and certain differences in syntax and perspective.- Anthology ID:
- W17-5410
- Volume:
- Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Emily Bender, Hal Daumé III, Allyson Ettinger, Sudha Rao
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 61–64
- Language:
- URL:
- https://aclanthology.org/W17-5410
- DOI:
- 10.18653/v1/W17-5410
- Cite (ACL):
- Ieva Staliūnaitė and Ben Bonfil. 2017. Breaking Sentiment Analysis of Movie Reviews. In Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems, pages 61–64, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Breaking Sentiment Analysis of Movie Reviews (Staliūnaitė & Bonfil, 2017)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W17-5410.pdf