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Pregled bibliografske jedinice broj: 1087597

Declarative Knowledge Extraction in the AC&NL Tutor


Grubišić, Ani; Stankov, Slavomir; Žitko, Branko; Šarić-Grgić, Ines; Gašpar, Angelina; Tomaš, Suzana; Brajković, Emil; Vasić, Daniel
Declarative Knowledge Extraction in the AC&NL Tutor // Adaptive Instructional Systems: 2nd International Conference, AIS 2020, held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020: Proceedings / Sottilare, Robert A. ; Schwarz, Jessica (ur.).
Cham: Springer, 2020. str. 293-310 doi:10.1007/978-3-030-50788-6_22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1087597 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Declarative Knowledge Extraction in the AC&NL Tutor

Autori
Grubišić, Ani ; Stankov, Slavomir ; Žitko, Branko ; Šarić-Grgić, Ines ; Gašpar, Angelina ; Tomaš, Suzana ; Brajković, Emil ; Vasić, Daniel

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

Izvornik
Adaptive Instructional Systems: 2nd International Conference, AIS 2020, held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020: Proceedings / Sottilare, Robert A. ; Schwarz, Jessica - Cham : Springer, 2020, 293-310

ISBN
978-3-030-50787-9

Skup
2nd Adaptive Instructional Systems (AIS 2020) ; 22nd International Conference on Human-Computer Interaction (HCII 2020)

Mjesto i datum
Kopenhagen, Danska, 19.07.2020. - 24.07.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Natural language processing ; Knowledge extraction ; Automatic question generation ; Question answering evaluation ; Gold standard evaluation ; Intelligent tutoring systems

Sažetak
Automatic knowledge acquisition is a rather complex and challenging task. This paper focuses on the description and evaluation of a semi-automatic authoring tool (SAAT) that has been developed as a part of the Adaptive Courseware based on Natural Language AC&NL Tutor project. The SAAT analyzes a natural language text and, as a result of the declarative knowledge extraction process, it generates domain knowledge that is presented in a form of natural language sentences, questions and domain knowledge graphs. Generated domain knowledge presents expert knowledge in the intelligent tutoring system Tutomat. The natural language processing techniques are applied and the tool’s functionalities are thoroughly explained. This tool is, to our knowledge, the only one that enables natural language question and sentence generation of different levels of complexity. Using an unstructured and unprocessed Wikipedia text in computer science, evaluation of domain knowledge extraction algorithm, i.e. the correctness of extraction outcomes and the effectiveness of extraction methods, was performed. The SAAT outputs were compared with the gold standard, manually developed by two experts. The results showed that 68.7% of detected errors referred to the performance of the integrated linguistic resources, such as CoreNLP, Senna, WordNet, whereas 31.3% of errors referred to the proposed extraction algorithms.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

Napomena
Book Series: Lecture Notes in Computer Science,
Volume: 12214



POVEZANOST RADA


Ustanove:
Prirodoslovno-matematički fakultet, Split,
Filozofski fakultet u Splitu

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Grubišić, Ani; Stankov, Slavomir; Žitko, Branko; Šarić-Grgić, Ines; Gašpar, Angelina; Tomaš, Suzana; Brajković, Emil; Vasić, Daniel
Declarative Knowledge Extraction in the AC&NL Tutor // Adaptive Instructional Systems: 2nd International Conference, AIS 2020, held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020: Proceedings / Sottilare, Robert A. ; Schwarz, Jessica (ur.).
Cham: Springer, 2020. str. 293-310 doi:10.1007/978-3-030-50788-6_22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Grubišić, A., Stankov, S., Žitko, B., Šarić-Grgić, I., Gašpar, A., Tomaš, S., Brajković, E. & Vasić, D. (2020) Declarative Knowledge Extraction in the AC&NL Tutor. U: Sottilare, R. & Schwarz, J. (ur.)Adaptive Instructional Systems: 2nd International Conference, AIS 2020, held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020: Proceedings doi:10.1007/978-3-030-50788-6_22.
@article{article, author = {Grubi\v{s}i\'{c}, Ani and Stankov, Slavomir and \v{Z}itko, Branko and \v{S}ari\'{c}-Grgi\'{c}, Ines and Ga\v{s}par, Angelina and Toma\v{s}, Suzana and Brajkovi\'{c}, Emil and Vasi\'{c}, Daniel}, year = {2020}, pages = {293-310}, DOI = {10.1007/978-3-030-50788-6\_22}, keywords = {Natural language processing, Knowledge extraction, Automatic question generation, Question answering evaluation, Gold standard evaluation, Intelligent tutoring systems}, doi = {10.1007/978-3-030-50788-6\_22}, isbn = {978-3-030-50787-9}, title = {Declarative Knowledge Extraction in the AC and NL Tutor}, keyword = {Natural language processing, Knowledge extraction, Automatic question generation, Question answering evaluation, Gold standard evaluation, Intelligent tutoring systems}, publisher = {Springer}, publisherplace = {Kopenhagen, Danska} }
@article{article, author = {Grubi\v{s}i\'{c}, Ani and Stankov, Slavomir and \v{Z}itko, Branko and \v{S}ari\'{c}-Grgi\'{c}, Ines and Ga\v{s}par, Angelina and Toma\v{s}, Suzana and Brajkovi\'{c}, Emil and Vasi\'{c}, Daniel}, year = {2020}, pages = {293-310}, DOI = {10.1007/978-3-030-50788-6\_22}, keywords = {Natural language processing, Knowledge extraction, Automatic question generation, Question answering evaluation, Gold standard evaluation, Intelligent tutoring systems}, doi = {10.1007/978-3-030-50788-6\_22}, isbn = {978-3-030-50787-9}, title = {Declarative Knowledge Extraction in the AC and NL Tutor}, keyword = {Natural language processing, Knowledge extraction, Automatic question generation, Question answering evaluation, Gold standard evaluation, Intelligent tutoring systems}, publisher = {Springer}, publisherplace = {Kopenhagen, Danska} }

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