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        <title>Semantic search with domain-specific word-embedding and production monitoring in Fintech</title>
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        <namePart type="given">Mojtaba</namePart>
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            <namePart type="given">Michal</namePart>
            <namePart type="family">Ptaszynski</namePart>
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    <abstract>We present an end-to-end information retrieval system with domain-specific custom language models for accurate search terms expansion. The text mining pipeline tackles several challenges faced in an industry-setting, including multi-lingual jargon-rich unstructured text and privacy compliance. Combined with a novel statistical approach for word embedding evaluations, the models can be monitored in a production setting. Our approach is used in the real world in risk management in the financial sector and has wide applicability to other domains.</abstract>
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    <identifier type="doi">10.18653/v1/2020.coling-demos.6</identifier>
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%0 Conference Proceedings
%T Semantic search with domain-specific word-embedding and production monitoring in Fintech
%A Farmanbar, Mojtaba
%A Van Ommeren, Nikki
%A Zhao, Boyang
%Y Ptaszynski, Michal
%Y Ziolko, Bartosz
%S Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
%D 2020
%8 December
%I International Committee on Computational Linguistics (ICCL)
%C Barcelona, Spain (Online)
%F farmanbar-etal-2020-semantic
%X We present an end-to-end information retrieval system with domain-specific custom language models for accurate search terms expansion. The text mining pipeline tackles several challenges faced in an industry-setting, including multi-lingual jargon-rich unstructured text and privacy compliance. Combined with a novel statistical approach for word embedding evaluations, the models can be monitored in a production setting. Our approach is used in the real world in risk management in the financial sector and has wide applicability to other domains.
%R 10.18653/v1/2020.coling-demos.6
%U https://aclanthology.org/2020.coling-demos.6
%U https://doi.org/10.18653/v1/2020.coling-demos.6
%P 28-33

Markdown (Informal)

[Semantic search with domain-specific word-embedding and production monitoring in Fintech](https://aclanthology.org/2020.coling-demos.6) (Farmanbar et al., COLING 2020)

• Semantic search with domain-specific word-embedding and production monitoring in Fintech (Farmanbar et al., COLING 2020)

ACL

• Mojtaba Farmanbar, Nikki Van Ommeren, and Boyang Zhao. 2020. Semantic search with domain-specific word-embedding and production monitoring in Fintech. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 28–33, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).