Abstract
This paper describes the KLUEnicorn system submitted to the SemEval-2018 task on “Irony detection in English tweets”. The proposed system uses a naive Bayes classifier to exploit rather simple lexical, pragmatical and semantical features as well as sentiment. It further takes a closer look at different adverb categories and named entities and factors in word-embedding information.- Anthology ID:
- S18-1099
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 607–612
- Language:
- URL:
- https://aclanthology.org/S18-1099
- DOI:
- 10.18653/v1/S18-1099
- Cite (ACL):
- Luise Dürlich. 2018. KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 607–612, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection (Dürlich, SemEval 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/S18-1099.pdf