TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
Piotr Niewiński, Aleksander Wawer, Maria Pszona, Maria Janicka
Abstract
The article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums. The systems under discussion participated in Subtask A: decide whether a question asks for factual information, opinion/advice or is just socializing. Our primary submission was ranked as the second one among all participants in the official evaluation phase. The article presents our primary solution: Deeply Regularized Residual Neural Network (DRR NN) with Universal Sentence Encoder embeddings. This is followed by a description of two contrastive solutions based on ensemble methods.- Anthology ID:
- S19-2205
- Volume:
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Editors:
- Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1172–1175
- Language:
- URL:
- https://aclanthology.org/S19-2205
- DOI:
- 10.18653/v1/S19-2205
- Cite (ACL):
- Piotr Niewiński, Aleksander Wawer, Maria Pszona, and Maria Janicka. 2019. TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1172–1175, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums (Niewiński et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/S19-2205.pdf