IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, Helmut Prendinger, Yutaka Matsuo
Abstract
In this paper we introduce our system for the task of Irony detection in English tweets, a part of SemEval 2018. We propose representation learning approach that relies on a multi-layered bidirectional LSTM, without using external features that provide additional semantic information. Although our model is able to outperform the baseline in the validation set, our results show limited generalization power over the test set. Given the limited size of the dataset, we think the usage of more pre-training schemes would greatly improve the obtained results.- Anthology ID:
- S18-1087
- 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:
- 537–540
- Language:
- URL:
- https://aclanthology.org/S18-1087
- DOI:
- 10.18653/v1/S18-1087
- Cite (ACL):
- Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, Helmut Prendinger, and Yutaka Matsuo. 2018. IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 537–540, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets (Marrese-Taylor et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/S18-1087.pdf