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pro vyhledávání: '"Renkens, Vincent"'
Autor:
Ates, Halim Cagri, Bhargava, Shruti, Li, Site, Lu, Jiarui, Maddula, Siddhardha, Moniz, Joel Ruben Antony, Nalamalapu, Anil Kumar, Nguyen, Roman Hoang, Ozyildirim, Melis, Patel, Alkesh, Piraviperumal, Dhivya, Renkens, Vincent, Samal, Ankit, Tran, Thy, Tseng, Bo-Hsiang, Yu, Hong, Zhang, Yuan, Zou, Rong
Successfully handling context is essential for any dialog understanding task. This context maybe be conversational (relying on previous user queries or system responses), visual (relying on what the user sees, for example, on their screen), or backgr
Externí odkaz:
http://arxiv.org/abs/2311.01650
Autor:
Bhargava, Shruti, Dhoot, Anand, Jonsson, Ing-Marie, Nguyen, Hoang Long, Patel, Alkesh, Yu, Hong, Renkens, Vincent
Voice assistants help users make phone calls, send messages, create events, navigate, and do a lot more. However, assistants have limited capacity to understand their users' context. In this work, we aim to take a step in this direction. Our work div
Externí odkaz:
http://arxiv.org/abs/2306.07298
Autor:
Patel, Alkesh, Moniz, Joel Ruben Antony, Nguyen, Roman, Tzou, Nick, Kotek, Hadas, Renkens, Vincent
In multimodal assistant, where vision is also one of the input modalities, the identification of user intent becomes a challenging task as visual input can influence the outcome. Current digital assistants take spoken input and try to determine the u
Externí odkaz:
http://arxiv.org/abs/2110.06416
Autor:
Nguyen, Hoang Long, Renkens, Vincent, Pelemans, Joris, Potharaju, Srividya Pranavi, Nalamalapu, Anil Kumar, Akbacak, Murat
Recognition errors are common in human communication. Similar errors often lead to unwanted behaviour in dialogue systems or virtual assistants. In human communication, we can recover from them by repeating misrecognized words or phrases; however in
Externí odkaz:
http://arxiv.org/abs/2108.01208
We present a framework for analyzing what the state in RNNs remembers from its input embeddings. Our approach is inspired by backpropagation, in the sense that we compute the gradients of the states with respect to the input embeddings. The gradient
Externí odkaz:
http://arxiv.org/abs/1805.04264
Autor:
Renkens, Vincent, Van hamme, Hugo
Designing a spoken language understanding system for command-and-control applications can be challenging because of a wide variety of domains and users or because of a lack of training data. In this paper we discuss a system that learns from scratch
Externí odkaz:
http://arxiv.org/abs/1805.02922
Publikováno v:
In Computer Speech & Language March 2021 66
Akademický článek
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Publikováno v:
2014 IEEE Spoken Language Technology Workshop (SLT); 2014, p30-35, 6p