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Code-switched inspired losses for generic spoken dialog representations

Code-switched inspired losses for generic spoken dialog representations

27 August 2021
E. Chapuis
Pierre Colombo
Matthieu Labeau
Chloe Clave
ArXivPDFHTML

Papers citing "Code-switched inspired losses for generic spoken dialog representations"

6 / 6 papers shown
Title
Toward Stronger Textual Attack Detectors
Toward Stronger Textual Attack Detectors
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
33
5
0
21 Oct 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
22
5
0
24 Nov 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation
  of Story Generation
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Cyril Chhun
Pierre Colombo
Chloé Clavel
Fabian M. Suchanek
49
50
0
24 Aug 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of Similarity
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaML
DRL
33
21
0
07 May 2022
How Good is Your Tokenizer? On the Monolingual Performance of
  Multilingual Language Models
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
69
234
0
31 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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