Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Amir Hadifar"'
Publikováno v:
IEEE Access, Vol 11, Pp 20885-20896 (2023)
Natural language processing technology has made significant progress in recent years, fuelled by increasingly powerful general language models. This has also inspired a sizeable body of work targeted specifically towards the educational domain, where
Externí odkaz:
https://doaj.org/article/457055de5f96461d8f9d34e23452cbe6
Publikováno v:
PATTERN RECOGNITION LETTERS
Neural networks have achieved state of the art performance across a wide variety of machine learning tasks, often with large and computation-heavy models. Inducing sparseness as a way to reduce the memory and computation footprint of these models has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6334bf4bc2e4c4d1f79494444965b9a
https://doi.org/10.1016/j.patrec.2021.08.013
https://doi.org/10.1016/j.patrec.2021.08.013
Publikováno v:
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
This work presents the contribution from the Text-to-Knowledge team of Ghent University (UGent-T2K) to the MultiDoc2Dial shared task on modeling dialogs grounded in multiple documents. We propose a pipeline system, comprising (1) document retrieval,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c50cacba491f7fe7611766c661e0552e
https://doi.org/10.18653/v1/2022.dialdoc-1.12
https://doi.org/10.18653/v1/2022.dialdoc-1.12
Publikováno v:
NAACL-HLT
2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021)
2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021)
In online domain-specific customer service applications, many companies struggle to deploy advanced NLP models successfully, due to the limited availability of and noise in their datasets. While prior research demonstrated the potential of migrating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cded2e7e1ab991fc8d77b1a9d467cba0
Autor:
Saeedeh Momtazi, Amir Hadifar
Publikováno v:
Language Resources and Evaluation. 52:997-1019
Word embedding, has been a great success story for natural language processing in recent years. The main purpose of this approach is providing a vector representation of words based on neural network language modeling. Using a large training corpus,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::182cce7f30d3b84b2b3f94936b2f386e
https://doi.org/10.1007/s10579-018-9419-x
https://doi.org/10.1007/s10579-018-9419-x
Publikováno v:
Ghent University Academic Bibliography
RepL4NLP@ACL
RepL4NLP@ACL
Short text clustering is a challenging problem when adopting traditional bag-of-words or TF-IDF representations, since these lead to sparse vector representations for short texts. Low-dimensional continuous representations or embeddings can counter t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c0b9a38606f3a24d20cab017232506d
https://biblio.ugent.be/publication/8621468
https://biblio.ugent.be/publication/8621468