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Authors: Alex Zhicharevich 1 ; Moni Shahar 2 and Oren Sar Shalom 1

Affiliations: 1 Intuit AI, Israel ; 2 Facebook, Israel

Keyword(s): Community Question Answering, Text Similarity, Text Representation, Deep Learning, Weak Supervision.

Abstract: Community question answering (CQA) sites are quickly becoming an invaluable source of information in many domains. Since CQA forums are based on the contributions of many authors, the problem of finding similar or even duplicate questions is essential. In the absence of supervised data for this problem, we propose a novel approach to generate weak labels based on easily obtainable data that exist in most CQAs, e.g., query logs and references in the answers. These labels accommodate training of auxiliary supervised text classification models. The internal states of these models serve as meaningful question representations and are used for semantic similarity. We demonstrate that these methods are superior to state of the art text embedding methods for the question similarity task.

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Paper citation in several formats:
Zhicharevich, A.; Shahar, M. and Shalom, O. (2020). Learning Question Similarity in CQA from References and Query-logs. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 342-352. DOI: 10.5220/0008982403420352

@conference{icpram20,
author={Alex Zhicharevich. and Moni Shahar. and Oren Sar Shalom.},
title={Learning Question Similarity in CQA from References and Query-logs},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={342-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008982403420352},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Learning Question Similarity in CQA from References and Query-logs
SN - 978-989-758-397-1
IS - 2184-4313
AU - Zhicharevich, A.
AU - Shahar, M.
AU - Shalom, O.
PY - 2020
SP - 342
EP - 352
DO - 10.5220/0008982403420352
PB - SciTePress

- Science and Technology Publications, Lda.
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