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pro vyhledávání: '"Cabrio, E."'
Akademický článek
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Argument Mining is the research area which aims at extracting argument components and predicting argumentative relations (i.e.,support and attack) from text. In particular, numerous approaches have been proposed in the literature to predict the relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::eda830e1eea99d2aa77323277ee47a45
http://hdl.handle.net/10044/1/77729
http://hdl.handle.net/10044/1/77729
Akademický článek
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Publikováno v:
Scopus-Elsevier
Mapping natural language terms to a Web knowledge base enriches information systems without additional context, with new relations and properties from the Linked Open Data. In this paper we formally define such task, which is related to word sense di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0d3e89acd3687375357f8eabd84505f6
https://hdl.handle.net/11565/4052790
https://hdl.handle.net/11565/4052790
Publikováno v:
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence
AAAI 2018-32nd AAAI Conference on Artificial Intelligence
AAAI 2018-32nd AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States. pp.4889-4896
Scopus-Elsevier
AAAI 2018-32nd AAAI Conference on Artificial Intelligence
AAAI 2018-32nd AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States. pp.4889-4896
Scopus-Elsevier
In this work, we apply argumentation mining techniques, in particular relation prediction, to study political speeches in monological form, where there is no direct interaction between opponents. We argue that this kind of technique can effectively s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4127f454b9ba008067ed22f4696b9718
https://hal.science/hal-01876442
https://hal.science/hal-01876442
Publikováno v:
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018): Torino, Italy, December 10-12, 2018
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
In this paper, we investigate the relation between negated adjectives and antonyms in English using Distributional Semantics methods. Results show that, on the basis of contexts of use, a negated adjective (e.g., not cold) is typically more similar t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::111b83fbbcbd4d6c85dff70b5b5344fa
https://dare.uva.nl/personal/pure/en/publications/a-distributional-study-of-negated-adjectives-and-antonyms(c084d71c-7d89-432e-8bca-a7804dd012d0).html
https://dare.uva.nl/personal/pure/en/publications/a-distributional-study-of-negated-adjectives-and-antonyms(c084d71c-7d89-432e-8bca-a7804dd012d0).html
Akademický článek
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Publikováno v:
Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference
Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, THe Hague, Netherlands. ⟨10.3233/978-1-61499-672-9-1458⟩
Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, THe Hague, Netherlands. ⟨10.3233/978-1-61499-672-9-1458⟩
International audience; Autonomous robots that are to assist humans in their daily lives are required, among other things, to recognize and understand the meaning of task-related objects. However, given an open-ended set of tasks, the set of everyday
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::12f7d31af566e65fbe5a4a9705056f40
http://hdl.handle.net/2318/1698212
http://hdl.handle.net/2318/1698212
Publikováno v:
Semantic Web Evaluation Challenges ISBN: 9783319255170
SemWebEval@ESWC
Semantic Web Evaluation Challenges, 223-233
STARTPAGE=223;ENDPAGE=233;TITLE=Semantic Web Evaluation Challenges
SemWebEval@ESWC
Semantic Web Evaluation Challenges, 223-233
STARTPAGE=223;ENDPAGE=233;TITLE=Semantic Web Evaluation Challenges
Sentiment analysis is an active field of research, moving from the traditional algorithms that operated on complete documents to fine-grained variants where aspects of the topic being discussed are extracted, as well as their associated sentiment. Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6d4b749e1dd4d2e9a914c587c271f0
https://doi.org/10.1007/978-3-319-25518-7_19
https://doi.org/10.1007/978-3-319-25518-7_19
Akademický článek
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