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pro vyhledávání: '"Liakata, M."'
Akademický článek
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Autor:
Scott, I.M., Lin, W., Liakata, M., Wood, J.E., Vermeer, C.P., Allaway, D., Ward, J.L., Draper, J., Beale, M.H., Corol, D.I., Baker, J.M., King, R.D.
Publikováno v:
In Analytica Chimica Acta 1 November 2013 801:22-33
Publikováno v:
Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Scopus-Elsevier
Scopus-Elsevier
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. We first describe the construct
Akademický článek
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Publikováno v:
Scopus-Elsevier
We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f4ddb1a8c5c192136560ef863513cd
We present a tokenizer and finite-state morphological analyzer (Beesley and Karttunen, 2003) for Malagasy, based primarily on the discussion of Malagasy morphology in Keenan and Polinsky (2001) and Randriamasimanana (1986). Words in Malagasy are buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::8f53e0c9c8ae0059083d9665c9b134d0
https://ora.ox.ac.uk/objects/uuid:6ff1c1df-c04d-488d-b64b-307160d8060c
https://ora.ox.ac.uk/objects/uuid:6ff1c1df-c04d-488d-b64b-307160d8060c
Publikováno v:
Tokens of Meaning: Papers in Honor of Lauri Karttunen.
We present a tokenizer and finite-state morphological analyzer (Beesley and Karttunen, 2003) for Malagasy, based primarily on the discussion of Malagasy morphology in Keenan and Polinsky (2001) and Randriamasimanana (1986). Words in Malagasy are buil
Akademický článek
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Publikováno v:
arXiv
This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the dangers of "fake news" h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a99fbdc70b1bca90ef385a460818fae
Publikováno v:
Matsumoto, Yuji & Prasad, Rashmi (Eds.). (2016). Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics : Technical Papers. : The COLING 2016 Organizing Committee, pp. 3007-3018
BASE-Bielefeld Academic Search Engine
Scopus-Elsevier
BASE-Bielefeld Academic Search Engine
Scopus-Elsevier
In this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous, longitudinal and non-synchronous textual as well as non-linguistic data that can be harvested from on-line media and mobile ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e2cac91c155ad016ecacc7003bfd07c
http://dro.dur.ac.uk/25727/
http://dro.dur.ac.uk/25727/