BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain

Sudhi V, Wehnert S, Homner NM, Ernst S, Gonter M, Krug A, De Luca EW (2022)
In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '22. New York, NY, USA: Association for Computing Machinery: 3251–3255.

Konferenzbeitrag | Englisch
 
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Autor*in
Sudhi, VijuUniBi ; Wehnert, Sabine; Homner, Norbert Michael; Ernst, Sebastian; Gonter, Mark; Krug, Andreas; De Luca, Ernesto William
Abstract / Bemerkung
To satiate the comprehensive information need of users, retrieval systems surpassing the boundaries of language are inevitable in the present digital space in the wake of an ever-rising multilingualism. This work presents the first-of-its-kind Bilingual Text Retrieval Explanations (BiTe-REx) aimed at users performing competitor or wage analysis in the automotive domain. BiTe-REx supports users to gather a more comprehensive picture of their query by retrieving results regardless of the query language and enables them to make a more informed decision by exposing how the underlying model judges the relevance of documents. With a user study, we demonstrate statistically significant results on the understandability and helpfulness of the explanations provided by the system.
Stichworte
bilingual text retrieval; explainable artificial intelligence; static and contextual embeddings
Erscheinungsjahr
2022
Titel des Konferenzbandes
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Serien- oder Zeitschriftentitel
SIGIR '22
Seite(n)
3251–3255
ISBN
9781450387323
Page URI
https://pub.uni-bielefeld.de/record/3005067

Zitieren

Sudhi V, Wehnert S, Homner NM, et al. BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '22. New York, NY, USA: Association for Computing Machinery; 2022: 3251–3255.
Sudhi, V., Wehnert, S., Homner, N. M., Ernst, S., Gonter, M., Krug, A., & De Luca, E. W. (2022). BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '22, 3251–3255. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3477495.3531665
Sudhi, Viju, Wehnert, Sabine, Homner, Norbert Michael, Ernst, Sebastian, Gonter, Mark, Krug, Andreas, and De Luca, Ernesto William. 2022. “BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain”. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 3251–3255. SIGIR '22. New York, NY, USA: Association for Computing Machinery.
Sudhi, V., Wehnert, S., Homner, N. M., Ernst, S., Gonter, M., Krug, A., and De Luca, E. W. (2022). “BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain” in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR '22 (New York, NY, USA: Association for Computing Machinery), 3251–3255.
Sudhi, V., et al., 2022. BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '22. New York, NY, USA: Association for Computing Machinery, pp. 3251–3255.
V. Sudhi, et al., “BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain”, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '22, New York, NY, USA: Association for Computing Machinery, 2022, pp.3251–3255.
Sudhi, V., Wehnert, S., Homner, N.M., Ernst, S., Gonter, M., Krug, A., De Luca, E.W.: BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '22. p. 3251–3255. Association for Computing Machinery, New York, NY, USA (2022).
Sudhi, Viju, Wehnert, Sabine, Homner, Norbert Michael, Ernst, Sebastian, Gonter, Mark, Krug, Andreas, and De Luca, Ernesto William. “BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain”. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: Association for Computing Machinery, 2022. SIGIR '22. 3251–3255.
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