Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Valtteri Skantsi"'
Autor:
Jenna Kanerva, Filip Ginter, Li-Hsin Chang, Iiro Rastas, Valtteri Skantsi, Jemina Kilpeläinen, Hanna-Mari Kupari, Aurora Piirto, Jenna Saarni, Maija Sevón, Otto Tarkka
Publikováno v:
Natural Language Engineering. :1-35
In this paper, we study natural language paraphrasing from both corpus creation and modeling points of view. We focus in particular on the methodology that allows the extraction of challenging examples of paraphrase pairs in their natural textual con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e644f2dfa4d510162d49dba92b4f8afa
https://doi.org/10.1017/s1351324923000086
https://doi.org/10.1017/s1351324923000086
Autor:
Valtteri Skantsi, Veronika Laippala
Publikováno v:
Nordic Journal of Linguistics. :1-31
This article introduces the Finnish Corpus of Online Registers (FinCORE) representing the full range of registers – situationally defined text varieties such as news and blogs – on the Finnish Internet. The extreme range of language use found onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::630fb0df37834902cd8fcad718eb7e09
https://doi.org/10.1017/s0332586523000021
https://doi.org/10.1017/s0332586523000021
Autor:
Jenna Kanerva, Filip Ginter, Li-Hsin Chang, Valtteri Skantsi, Jemina Kilpeläinen, Hanna-Mari Kupari, Aurora Piirto, Jenna Saarni, Maija Sevón, Otto Tarkka
Publikováno v:
European Language Grid ISBN: 9783031172571
The Turku Paraphrase Corpus is a dataset of over 100,000 Finnish paraphrase pairs. During the corpus creation, we strived to gather challenging paraphrase pairs, more suitable to test the capabilities of natural language understanding models. The par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f36ed2b89d719263019878db8748bfc
https://doi.org/10.1007/978-3-031-17258-8_27
https://doi.org/10.1007/978-3-031-17258-8_27
Publikováno v:
Puhe ja kieli. :275-304
Artikkelissa tarkastellaan kielitaidon taitotasoittaista kehittymistä potentiaalisten esiintymien analyysin (Potential Occasion Analysis, Thewissen, 2015) avulla. Kehittymistä analysoidaan tarkkuuden näkökulmasta, ja sitä mitataan kohdekielen mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba889f56e3bf0348bf6f1bbac884743
https://doi.org/10.23997/pk.76601
https://doi.org/10.23997/pk.76601
Autor:
Anna Salmela, Douglas Biber, Sampo Pyysalo, Veronika Laippala, Jesse Egbert, Liina Repo, Samuel Rönnqvist, Miika Oinonen, Valtteri Skantsi, Saara Hellström
Publikováno v:
EACL (Student Research Workshop)
We explore cross-lingual transfer of register classification for web documents. Registers, that is, text varieties such as blogs or news are one of the primary predictors of linguistic variation and thus affect the automatic processing of language. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4dfd83e5268a1ad0862cae354fe830a
https://doi.org/10.18653/v1/2021.eacl-srw.24
https://doi.org/10.18653/v1/2021.eacl-srw.24