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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S19-2205.pdf