How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets
S. Denisov, F. Bäumer, in: A. Lopata, D. Gudonienė, R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Springer International Publishing, Cham, 2021, pp. 353–366.
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Konferenzbeitrag
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| Englisch
Autor*in
Herausgeber*in
Lopata, Audrius;
Gudonienė, Daina;
Butkienė, Rita
Einrichtung
Erscheinungsjahr
Titel des Konferenzbandes
Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings
Seite
353-366
Konferenz
27th International Conference, ICIST 2021
Konferenzort
Kaunas, Lithuania
Konferenzdatum
2021-10-14 – 2021-10-16
ISBN
ISSN
eISSN
FH-PUB-ID
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Denisov, Sergej ; Bäumer, Frederik: How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In: Lopata, A. ; Gudonienė, D. ; Butkienė, R. (Hrsg.): Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Communications in Computer and Information Science. Cham : Springer International Publishing, 2021, S. 353–366
Denisov S, Bäumer F. How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In: Lopata A, Gudonienė D, Butkienė R, eds. Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings. Communications in Computer and Information Science. Cham: Springer International Publishing; 2021:353-366. doi:10.1007/978-3-030-88304-1_28
Denisov, S., & Bäumer, F. (2021). How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings (pp. 353–366). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-88304-1_28
@inproceedings{Denisov_Bäumer_2021, place={Cham}, series={Communications in Computer and Information Science}, title={How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets}, DOI={10.1007/978-3-030-88304-1_28}, booktitle={Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings}, publisher={Springer International Publishing}, author={Denisov, Sergej and Bäumer, Frederik}, editor={Lopata, Audrius and Gudonienė, Daina and Butkienė, RitaEditors}, year={2021}, pages={353–366}, collection={Communications in Computer and Information Science} }
Denisov, Sergej, and Frederik Bäumer. “How to Improve E-Commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets.” In Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, edited by Audrius Lopata, Daina Gudonienė, and Rita Butkienė, 353–66. Communications in Computer and Information Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-88304-1_28.
S. Denisov and F. Bäumer, “How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets,” in Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, Kaunas, Lithuania, 2021, pp. 353–366.
Denisov, Sergej, and Frederik Bäumer. “How to Improve E-Commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets.” Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings, edited by Audrius Lopata et al., Springer International Publishing, 2021, pp. 353–66, doi:10.1007/978-3-030-88304-1_28.