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Pregled bibliografske jedinice broj: 931711

Detecting Non-covered Questions in Frequently Asked Questions Collections

Karan, Mladen; Šnajder, Jan
Detecting Non-covered Questions in Frequently Asked Questions Collections // Proceedings of the International Conference on Applications of Natural Language to Information Systems. / Frasincar, Flavius ; Ittoo, Ashwin ; Nguyen, Le Minh ; Métais, Elisabeth (ur.).
Liege: Springer, 2017. str. 387-390 doi:10.1007/978-3-319-59569-6_47 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Detecting Non-covered Questions in Frequently Asked Questions Collections

Autori
Karan, Mladen ; Šnajder, Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Conference on Applications of Natural Language to Information Systems. / Frasincar, Flavius ; Ittoo, Ashwin ; Nguyen, Le Minh ; Métais, Elisabeth - Liege : Springer, 2017, 387-390

ISBN
978-3-319-59569-6

Skup
International Conference on Applications of Natural Language to Information Systems.

Mjesto i datum
Liège, Belgija, 21.06.2017. - 23.06.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
FAQ retrieval, Novelty detection, Question answering

Sažetak
Frequently asked questions (FAQ) collections are a popular and effective way of representing information, and FAQ retrieval systems provide a natural-language interface to such collections. An important aspect of efficient and trustworthy FAQ retrieval is to maintain a low fall-out rate by detecting non-covered questions. In this paper we address the task of detecting non-covered questions. We experiment with threshold-based methods as well as unsupervised one-class and supervised binary classifiers, considering tf-idf and word embeddings text representations. Experiments, carried out on a domain-specific FAQ collection, indicate that a cluster-based model with query paraphrases outperforms threshold-based, one-class, and binary classifiers.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Projekti:
036-1300646-1986 - Otkrivanje znanja u tekstnim podacima (Dalbelo-Bašić, Bojana, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Jan Šnajder (autor)

Avatar Url Mladen Karan (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Karan, Mladen; Šnajder, Jan
Detecting Non-covered Questions in Frequently Asked Questions Collections // Proceedings of the International Conference on Applications of Natural Language to Information Systems. / Frasincar, Flavius ; Ittoo, Ashwin ; Nguyen, Le Minh ; Métais, Elisabeth (ur.).
Liege: Springer, 2017. str. 387-390 doi:10.1007/978-3-319-59569-6_47 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Karan, M. & Šnajder, J. (2017) Detecting Non-covered Questions in Frequently Asked Questions Collections. U: Frasincar, F., Ittoo, A., Nguyen, L. & Métais, E. (ur.)Proceedings of the International Conference on Applications of Natural Language to Information Systems. doi:10.1007/978-3-319-59569-6_47.
@article{article, author = {Karan, Mladen and \v{S}najder, Jan}, year = {2017}, pages = {387-390}, DOI = {10.1007/978-3-319-59569-6\_47}, keywords = {FAQ retrieval, Novelty detection, Question answering}, doi = {10.1007/978-3-319-59569-6\_47}, isbn = {978-3-319-59569-6}, title = {Detecting Non-covered Questions in Frequently Asked Questions Collections}, keyword = {FAQ retrieval, Novelty detection, Question answering}, publisher = {Springer}, publisherplace = {Li\`{e}ge, Belgija} }
@article{article, author = {Karan, Mladen and \v{S}najder, Jan}, year = {2017}, pages = {387-390}, DOI = {10.1007/978-3-319-59569-6\_47}, keywords = {FAQ retrieval, Novelty detection, Question answering}, doi = {10.1007/978-3-319-59569-6\_47}, isbn = {978-3-319-59569-6}, title = {Detecting Non-covered Questions in Frequently Asked Questions Collections}, keyword = {FAQ retrieval, Novelty detection, Question answering}, publisher = {Springer}, publisherplace = {Li\`{e}ge, Belgija} }

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