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Raquel Fernández
Raquel Fernández
Institute for Logic, Language and Computation, University of Amsterdam
Bestätigte E-Mail-Adresse bei uva.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The LAMBADA dataset: Word prediction requiring a broad discourse context
D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, S Pezzelle, ...
arXiv preprint arXiv:1606.06031, 2016
2122016
The CALO meeting assistant system
G Tur, A Stolcke, L Voss, S Peters, D Hakkani-Tur, J Dowding, B Favre, ...
IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1601-1611, 2010
2112010
The CALO meeting speech recognition and understanding system
G Tur, A Stolcke, L Voss, J Dowding, B Favre, R Fernández, M Frampton, ...
2008 IEEE Spoken Language Technology Workshop, 69-72, 2008
1682008
Analysing lexical semantic change with contextualised word representations
M Giulianelli, M Del Tredici, R Fernández
arXiv preprint arXiv:2004.14118, 2020
1152020
Non-sentential utterances: A corpus study
R Fernández, J Ginzburg
Tratement Automatique de Langues 43 (2), 13-42, 2002
112*2002
Non-sentential utterances in dialogue: Classification, resolution and use
R Fernández
Unpublished Ph. D. thesis, University of London, 2006
922006
Disfluencies as intra-utterance dialogue moves
J Ginzburg, RM Fernández, S David
Semantics and Pragmatics 7 (9), 64, 2014
712014
16 Computational Models of Dialogue
J Ginzburg, R Fernández
The handbook of computational linguistics and natural language processing, 429, 2010
632010
Classifying non-sentential utterances in dialogue: A machine learning approach
R Fernández, J Ginzburg, S Lappin
Computational Linguistics 33 (3), 397-427, 2007
622007
Classifying non-sentential utterances in dialogue: A machine learning approach
R Fernández, J Ginzburg, S Lappin
Computational Linguistics 33 (3), 397-427, 2007
622007
Classifying non-sentential utterances in dialogue: A machine learning approach
R Fernández, J Ginzburg, S Lappin
Computational Linguistics 33 (3), 397-427, 2007
622007
Classifying non-sentential utterances in dialogue: A machine learning approach
R Fernández, J Ginzburg, S Lappin
Computational Linguistics 33 (3), 397-427, 2007
622007
SHARDS: Fragment resolution in dialogue
R Fernández, J Ginzburg, H Gregory, S Lappin
Computing meaning 3, 125-144, 2007
602007
Modelling and detecting decisions in multi-party dialogue
R Fernández, M Frampton, P Ehlen, M Purver, S Peters
Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue, 156-163, 2008
562008
The PhotoBook dataset: Building common ground through visually-grounded dialogue
J Haber, T Baumgärtner, E Takmaz, L Gelderloos, E Bruni, R Fernández
arXiv preprint arXiv:1906.01530, 2019
502019
Classifying ellipsis in dialogue: A machine learning approach
R Fernández, J Ginzburg, S Lappin
COLING 2004: Proceedings of the 20th International Conference on …, 2004
482004
Short-term meaning shift: A distributional exploration
M Del Tredici, R Fernández, G Boleda
arXiv preprint arXiv:1809.03169, 2018
452018
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
R Shekhar, A Venkatesh, T Baumgärtner, E Bruni, B Plank, R Bernardi, ...
arXiv preprint arXiv:1809.03408, 2018
422018
Automatic labeling of phonesthemic senses
E Abramova, R Fernández, F Sangati
Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013
332013
Semantic variation in online communities of practice
M Del Tredici, R Fernández
arXiv preprint arXiv:1806.05847, 2018
322018
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