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pro vyhledávání: '"Vahtola, Teemu"'
Autor:
Mickus, Timothee, Zosa, Elaine, Vázquez, Raúl, Vahtola, Teemu, Tiedemann, Jörg, Segonne, Vincent, Raganato, Alessandro, Apidianaki, Marianna
This paper presents the results of the SHROOM, a shared task focused on detecting hallucinations: outputs from natural language generation (NLG) systems that are fluent, yet inaccurate. Such cases of overgeneration put in jeopardy many NLG applicatio
Externí odkaz:
http://arxiv.org/abs/2403.07726
In this paper, we approach the problem of semantic search by framing the search task as paraphrase span detection, i.e. given a segment of text as a query phrase, the task is to identify its paraphrase in a given document, the same modelling setup as
Externí odkaz:
http://arxiv.org/abs/2112.04886
We perform neural machine translation of sentence fragments in order to create large amounts of training data for English grammatical error correction. Our method aims at simulating mistakes made by second language learners, and produces a wider rang
Externí odkaz:
http://arxiv.org/abs/2104.09933
We investigate to what extent a hundred publicly available, popular neural language models capture meaning systematically. Sentence embeddings obtained from pretrained or fine-tuned language models can be used to perform particular tasks, such as par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1593::a55ebc206a5eca013b0105a1c1bf2d40
http://hdl.handle.net/10138/354660
http://hdl.handle.net/10138/354660
Autor:
Kanerva, Jenna1 (AUTHOR) jmnybl@utu.fi, Kitti, Hanna (AUTHOR), Chang, Li-Hsin (AUTHOR), Vahtola, Teemu (AUTHOR), Creutz, Mathias (AUTHOR), Ginter, Filip (AUTHOR)
Publikováno v:
Language Resources & Evaluation. Feb2024, p1-20.
Akademický článek
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