@inproceedings{niewinski-etal-2019-tmlab,
title = "{TML}ab {SRPOL} at {S}em{E}val-2019 Task 8: Fact Checking in Community Question Answering Forums",
author = "Niewi{\'n}ski, Piotr and
Wawer, Aleksander and
Pszona, Maria and
Janicka, Maria",
editor = "May, Jonathan and
Shutova, Ekaterina and
Herbelot, Aurelie and
Zhu, Xiaodan and
Apidianaki, Marianna and
Mohammad, Saif M.",
booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S19-2205",
doi = "10.18653/v1/S19-2205",
pages = "1172--1175",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
%A Niewiński, Piotr
%A Wawer, Aleksander
%A Pszona, Maria
%A Janicka, Maria
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F niewinski-etal-2019-tmlab
%X 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.
%R 10.18653/v1/S19-2205
%U https://aclanthology.org/S19-2205
%U https://doi.org/10.18653/v1/S19-2205
%P 1172-1175
Markdown (Informal)
[TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums](https://aclanthology.org/S19-2205) (Niewiński et al., SemEval 2019)
ACL