Jodi Schneider – författare
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5 produkter
Argumentation Mining
Av Manfred Stede, Jodi Schneider
Häftad, 2018
625 kr
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Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the …
Argumentation Mining
Av Jodi Schneider, Manfred Stede
E-bok, 2022
839 kr
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Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the …
Semantic Web: ESWC 2022 Satellite Events
Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings
Av Paul Groth, Anisa Rula m. fl.
Häftad, 2022
906 kr
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This book constitutes the proceedings of the satellite events held at the 19th Extended Semantic Web Conference, ESWC 2022, during May—June in Hersonissos, Greece, 2022. The included satellite events are: the poster and demo session; the PhD symposium; industry track; project networking; workshops …
Semantic Web: ESWC 2022 Satellite Events
Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings
Av Minna Tamper, Anastasia Dimou m. fl.
E-bok, 2022
1175 kr
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This book constitutes the proceedings of the satellite events held at the 19th Extended Semantic Web Conference, ESWC 2022, during May—June in Hersonissos, Greece, 2022. The included satellite events are: the poster and demo session; the PhD symposium; industry track; project networking; workshops …
Argument Mining
Av Manfred Stede, Jodi Schneider m. fl.
Inbunden, 2026
626 kr
Kommande
This Open Access book provides an essential overview of the topic of argumentation mining, an active research area of Natural Language Processing (NLP). Argument mining can automatically find and collect arguments published in newspapers, social media, or elsewhere. Argument mining can be also used …
