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ICASSP
2008
IEEE
15 years 6 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi
LREC
2010
196views Education» more  LREC 2010»
15 years 1 months ago
HIFI-AV: An Audio-visual Corpus for Spoken Language Human-Machine Dialogue Research in Spanish
In this paper, we describe a new multi-purpose audio-visual database on the context of speech interfaces for controlling household electronic devices. The database comprises speec...
Fernando F. Fernández-Martínez, Juan...
ACL
2006
15 years 1 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
ACL
2001
15 years 1 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
ACL
1998
15 years 1 months ago
Evaluating Response Strategies in a Web-Based Spoken Dialogue Agent
While the notion of a cooperative response has been the focus of considerable research in natural language dialogue systems, there has been little empirical work demonstrating how...
Diane J. Litman, Shimei Pan, Marilyn A. Walker