@inproceedings{gupta-etal-2019-solomonlab,
title = "{S}olomon{L}ab at {S}em{E}val-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums",
author = "Gupta, Ankita and
Sahoo, Sudeep Kumar and
Prakash, Divya and
R.R, Rohit and
Srivastava, Vertika and
Kim, Yeon Hyang",
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/S19-2204",
doi = "10.18653/v1/S19-2204",
pages = "1165--1171",
abstract = "We describe our system for SemEval-2019, Task 8 on {``}Fact-Checking in Community Question Answering Forums (cQA){''}. cQA forums are very prevalent nowadays, as they provide an effective means for communities to share knowledge. Unfortunately, this shared information is not always factual and fact-verified. In this task, we aim to identify factual questions posted on cQA and verify the veracity of answers to these questions. Our approach relies on data augmentation and aggregates cues from several dimensions such as semantics, linguistics, syntax, writing style and evidence obtained from trusted external sources. In subtask A, our submission is ranked 3rd, with an accuracy of 83.14{\%}. Our current best solution stands 1st on the leaderboard with 88{\%} accuracy. In subtask B, our present solution is ranked 2nd, with 58.33{\%} MAP score.",
}
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<abstract>We describe our system for SemEval-2019, Task 8 on “Fact-Checking in Community Question Answering Forums (cQA)”. cQA forums are very prevalent nowadays, as they provide an effective means for communities to share knowledge. Unfortunately, this shared information is not always factual and fact-verified. In this task, we aim to identify factual questions posted on cQA and verify the veracity of answers to these questions. Our approach relies on data augmentation and aggregates cues from several dimensions such as semantics, linguistics, syntax, writing style and evidence obtained from trusted external sources. In subtask A, our submission is ranked 3rd, with an accuracy of 83.14%. Our current best solution stands 1st on the leaderboard with 88% accuracy. In subtask B, our present solution is ranked 2nd, with 58.33% MAP score.</abstract>
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%0 Conference Proceedings
%T SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums
%A Gupta, Ankita
%A Sahoo, Sudeep Kumar
%A Prakash, Divya
%A R.R, Rohit
%A Srivastava, Vertika
%A Kim, Yeon Hyang
%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 gupta-etal-2019-solomonlab
%X We describe our system for SemEval-2019, Task 8 on “Fact-Checking in Community Question Answering Forums (cQA)”. cQA forums are very prevalent nowadays, as they provide an effective means for communities to share knowledge. Unfortunately, this shared information is not always factual and fact-verified. In this task, we aim to identify factual questions posted on cQA and verify the veracity of answers to these questions. Our approach relies on data augmentation and aggregates cues from several dimensions such as semantics, linguistics, syntax, writing style and evidence obtained from trusted external sources. In subtask A, our submission is ranked 3rd, with an accuracy of 83.14%. Our current best solution stands 1st on the leaderboard with 88% accuracy. In subtask B, our present solution is ranked 2nd, with 58.33% MAP score.
%R 10.18653/v1/S19-2204
%U https://aclanthology.org/S19-2204
%U https://doi.org/10.18653/v1/S19-2204
%P 1165-1171
Markdown (Informal)
[SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums](https://aclanthology.org/S19-2204) (Gupta et al., SemEval 2019)
ACL