Zobrazeno 1 - 10
of 1 030
pro vyhledávání: '"Language Technology (Computational Linguistics)"'
Autor:
Salam, Elaf, Norberg, Max
Procurement requirements and procurement analysis are approaches used by the Swedish National Agency for Public Procurement to ensure and maintain a sustainable societal development. The aim is to safeguard tax funds and ensure that they are used for
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533973
Autor:
Lindqvist, Robin
This study aims to construct a state-of-the-art classifier model and compare it against a largelanguage model. A variation of SVM called LinearSVC was utilised and the BERT model usingbert-base-uncased was used. The data, provided by the Swedish Rese
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-230989
Autor:
Kurita, Masaki
This thesis demonstrates that hierarchical classifiers that organize a classifica-tion task across multiple, sequential stages substantially improve emotion clas-sification accuracy compared to flat classifiers that classify text in a single step, ef
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-531396
Text-to-SQL, which involves translating natural language into Structured Query Language (SQL), is crucial for enabling broad access to structured databases without expert knowledge. However, designing models for such tasks is challenging due to numer
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200605
Autor:
Hellsten, Simon
This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-221890
Autor:
Dmytro Kalpakchi, Johan Boye
Publikováno v:
Natural Language Engineering. :1-39
We propose a multilingual data-driven method for generating reading comprehension questions using dependency trees. Our method provides a strong, mostly deterministic, and inexpensive-to-train baseline for less-resourced languages. While a language-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f09f7bc6b4625c24aa969fdca408bb6
https://doi.org/10.1017/s1351324923000037
https://doi.org/10.1017/s1351324923000037
Publikováno v:
PHM Society European Conference. 7:306-314
Annotations in condition monitoring systems contain information regarding asset history and fault characteristics in the form of unstructured text that could, if unlocked, be used for intelligent fault diagnosis. However, processing these annotations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb341ae17b8937707b98f3f275ed2423
https://doi.org/10.36001/phme.2022.v7i1.3356
https://doi.org/10.36001/phme.2022.v7i1.3356
In this study, we aim to find a parser for accurately identifying different types of subordinate clauses, and related phenomena, in 19th–20th-century Swedish literature. Since no test set is available for parsing from this time period, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::15abc6d86bcd8ab01c73048ff7c40908
http://hdl.handle.net/10062/89894
http://hdl.handle.net/10062/89894
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Recent advances in large scale language models have significantly changed the landscape of automatic dialogue systems and chatbots. We believe that these models also have a great potential for changing the way we interact with robots. Here, we presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efbfa5158536fa35df7df8b8c94ff6fc
https://doi.org/10.1145/3568294.3580040
https://doi.org/10.1145/3568294.3580040