Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hans van Halteren"'
Publikováno v:
Computational Linguistics, Vol 27, Iss 2 (2021)
Externí odkaz:
https://doaj.org/article/6c1f9397bdbc41b4858472dc2a8f391e
Publikováno v:
Journal of Pragmatics, 176, pp. 97-109
Journal of Pragmatics, 176, 97-109. Elsevier Science BV
Journal of Pragmatics, 176, 97-109
Journal of Pragmatics, 176, 97-109. Elsevier Science BV
Journal of Pragmatics, 176, 97-109
The construction [X, you are/were Y], where X is a spatio-temporal addressee, is widely attested on Dutch social media. We investigated this construction in a Twitter corpus, and found that Twitter users use the construction to tell their audience ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85beb2000672a13e32173cbec7025a54
https://research.tilburguniversity.edu/en/publications/62378ed1-58af-48db-8606-284950a8a5ff
https://research.tilburguniversity.edu/en/publications/62378ed1-58af-48db-8606-284950a8a5ff
Autor:
Hans van Halteren
Publikováno v:
Language as Evidence ISBN: 9783030843298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceb789a47eb8396e32cf4633174decb9
https://doi.org/10.1007/978-3-030-84330-4_8
https://doi.org/10.1007/978-3-030-84330-4_8
Autor:
Hans van Halteren
Publikováno v:
Natural Language Engineering
This paper describes experiments in which I tried to distinguish between Flemish and Netherlandic Dutch subtitles, as originally proposed in the VarDial 2018 Dutch–Flemish Subtitle task. However, rather than using all data as a monolithic block, I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c701d652b267466064b73867c88933dd
https://doi.org/10.1017/S1351324919000445
https://doi.org/10.1017/S1351324919000445
Autor:
Hans van Halteren, Nelleke Oostdijk
Publikováno v:
SemEval@NAACL-HLT
This paper presents our submissions to SemEval-2019 Task9, Suggestion Mining. Our system is one in a series of systems in which we compare an approach using expert-defined rules with a comparable one using machine learning. We target tasks with a syn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e10ee6e05c2accd143cd3533501ed1be
https://doi.org/10.18653/v1/s19-2219
https://doi.org/10.18653/v1/s19-2219
Autor:
Hans Van Halteren, Nelleke Oostdijk
Publikováno v:
Journal for Language Technology and Computational Linguistics. 29:97-123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b689f6320ae6c2d70870326eac7bc237
https://doi.org/10.21248/jlcl.29.2014.191
https://doi.org/10.21248/jlcl.29.2014.191
Autor:
Hans van Halteren, M. Rem
Publikováno v:
Language Resources and Evaluation, 47, 1233-1259
Language Resources and Evaluation, 47, 4, pp. 1233-1259
Language Resources and Evaluation, 47, 4, pp. 1233-1259
In this paper we describe a tagger-lemmatizer for fourteenth century Dutch charters (as found in the corpus van Reenen/Mulder), with a special focus on the treatment of the extensive orthographic variation in this material. We show that despite the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac08ae1bf8316805b5de0a702d08262
https://doi.org/10.1007/s10579-013-9236-1
https://doi.org/10.1007/s10579-013-9236-1
Publikováno v:
Journal of Quantitative Linguistics
Earlier research has shown that established authors can be distinguished by measuring specific properties of their writings, their stylome as it were. Here, we examine writings of less experienced authors. We succeed in distinguishing between these a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4586acc98adb8b90b3374f9e4e220f3d
https://doi.org/10.1080/09296170500055350
https://doi.org/10.1080/09296170500055350
Autor:
Hans van Halteren
Publikováno v:
Computers and the Humanities. 32:389-409
This paper examines the feasibility of incremental annotation, i.e. using existing annotation on a text as the basis for further annotation rather than starting the new annotation from scratch. It contains a theoretical component, describing basic me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c0778b7bd3e76897ce4c60f3520053e
https://doi.org/10.1023/a:1001743023032
https://doi.org/10.1023/a:1001743023032
Autor:
Hans van Halteren, Nelleke Oostdijk
Publikováno v:
ASONAM
In this paper, we investigate the recognition of threats in Dutch tweets. As tweets often display irregular grammatical form and deviant orthography, analysis by standard means is problematic. Therefore, we have implemented a new shallow parsing mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::737f9ab02cb0a7b1c61fe0bfcb0858f8
https://doi.org/10.1145/2492517.2500271
https://doi.org/10.1145/2492517.2500271