Zobrazeno 1 - 10
of 26
pro vyhledávání: '"David VanDyke"'
Autor:
Michael Hoechsmann, David VanDyke
Publikováno v:
The Capitol Riots ISBN: 9781003246862
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86b0b8c947414709bf158911ea87fcf7
https://doi.org/10.4324/9781003246862-12
https://doi.org/10.4324/9781003246862-12
Autor:
David VanDyke
Publikováno v:
The Capitol Riots ISBN: 9781003246862
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ee3ab5430eee19982dbfd7065ba9fe
https://doi.org/10.4324/9781003246862-7
https://doi.org/10.4324/9781003246862-7
Publikováno v:
The Capitol Riots ISBN: 9781003246862
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c80fbb03d131702d4a9241abb7149c63
https://doi.org/10.4324/9781003246862-6
https://doi.org/10.4324/9781003246862-6
Publikováno v:
EACL
Non-autoregressive generation (NAG) has recently attracted great attention due to its fast inference speed. However, the generation quality of existing NAG models still lags behind their autoregressive counterparts. In this work, we show that BERT ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be8fc9dff6b1f5a599febde0b43b4be2
Publikováno v:
ACL
Natural language understanding (NLU) and natural language generation (NLG) are two fundamental and related tasks in building task-oriented dialogue systems with opposite objectives: NLU tackles the transformation from natural language to formal repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0218cf1a0e68759618014848b1d1f50c
http://arxiv.org/abs/2006.07499
http://arxiv.org/abs/2006.07499
The Capitol Riots maps out the events of the January 6, 2021 insurrectionary riots at the United States Capitol building, providing context for understanding the contributing factors and ongoing implications of the uprising.This definitive text explo
Autor:
Steve Young, Pei-Hao Su, Nikola Mrkšić, Paweł Budzianowski, Dongho Kim, Stefan Ultes, Iñigo Casanueva, David Vandyke, Milica Gasic, Tsung-Hsien Wen, Lina Maria Rojas-Barahona
Publikováno v:
ACL (System Demonstrations)
Autor:
Lina Maria Rojas-Barahona, Stefan Ultes, Tsung-Hsien Wen, David Vandyke, Milica Gasic, Nikola Mrkšić, Steve Young, Pei-Hao Su
Publikováno v:
EACL (1)
Teaching machines to accomplish tasks by conversing naturally with humans is challenging. Currently, developing task-oriented dialogue systems requires creating multiple components and typically this involves either a large amount of handcrafting, or
Autor:
Blaise Thomson, Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Steve Young, Pei-Hao Su, Lina Maria Rojas-Barahona, Diarmuid Ó Séaghdha, David Vandyke
Publikováno v:
HLT-NAACL
In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity. Applying this method to publicly av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1316f93a3dff88f1c1af763f965f7f3
http://arxiv.org/abs/1603.00892
http://arxiv.org/abs/1603.00892