UAIC at SemEval-2019 Task 3: Extracting Much from Little
Cristian Simionescu, Ingrid Stoleru, Diana Lucaci, Gheorghe Balan, Iulian Bute, Adrian Iftene
Abstract
In this paper, we present a system description for implementing a sentiment analysis agent capable of interpreting the state of an interlocutor engaged in short three message conversations. We present the results and observations of our work and which parts could be further improved in the future.- Anthology ID:
- S19-2062
- Volume:
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 355–359
- Language:
- URL:
- https://aclanthology.org/S19-2062
- DOI:
- 10.18653/v1/S19-2062
- Cite (ACL):
- Cristian Simionescu, Ingrid Stoleru, Diana Lucaci, Gheorghe Balan, Iulian Bute, and Adrian Iftene. 2019. UAIC at SemEval-2019 Task 3: Extracting Much from Little. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 355–359, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- UAIC at SemEval-2019 Task 3: Extracting Much from Little (Simionescu et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/S19-2062.pdf
- Data
- EmoContext