Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Andrei-Cristian Rad"'
Publikováno v:
Sensors, Vol 22, Iss 19, p 7457 (2022)
Dot-product attention is a powerful mechanism for capturing contextual information. Models that build on top of it have acclaimed state-of-the-art performance in various domains, ranging from sequence modelling to visual tasks. However, the main bott
Externí odkaz:
https://doaj.org/article/725fc2f363c543f2829998744b4fc751
Autor:
Anda-Diana Stoica, Rodica Potolea, Mihaela Dînșoreanu, Andrei-Cristian Rad, Camelia Lemnaru, Ioan-Horia-Mihai Muntean
Publikováno v:
Advances in Intelligent Data Analysis XIX ISBN: 9783030742508
IDA
IDA
Word embeddings are known to encapsulate semantic similarity and have become the preferred representation solution for NLP models. However, they fail to identify the type of semantic relationship, which – in some applications – might be crucial.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aea8f00953360dbd0c24562c1dfea170
https://doi.org/10.1007/978-3-030-74251-5_20
https://doi.org/10.1007/978-3-030-74251-5_20
Autor:
Mihaela Dinsoreanu, Andrei-Cristian Rad, George Daian, A. Stoica, Camelia Lemnaru, Ioan Horia Muntean, Rodica Potolea
Publikováno v:
2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
This paper aims to provide an empirical analysis of the effect of Romanian diacritics on the performance of two well known frameworks for intent detection and slot filling: the RASA framework and Facebook's Wit.ai API. We use a previously defined hom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6d86a4fba8a70d5906f25e8cff74dc
https://doi.org/10.1109/aqtr49680.2020.9129947
https://doi.org/10.1109/aqtr49680.2020.9129947