Yuichiro Fukubayashi

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A method is presented that helps novice users understand the language expressions that a system can accept, even from unacceptable utterances made that may contain automatic speech recognition errors. We have developed a method that dynamically generates help messages, which can avoid further unacceptable utterances from being made, by estimating a users'(More)
In a speech interface, a gap between a user's mental model and actual structures of systems tends to be large because the amount of information conveyed by speech is limited. We address dynamic help generation adapted to users, to decrease the gap between them. We defined a domain concept tree as an expression of a system's actual structure. We estimated(More)
We address an issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages for novice users. Help generation for OOG utterances is a challenging problem because language understanding (LU) results based on automatic speech recognition (ASR) results for such utterances are always erroneous as important words are often(More)
SUMMARY We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such(More)
WFST †1, * 1 †1 †2 †2 †2 †1 †1 (i) (ii) 2 Weighted Finite State TransducerWFST WFST 2 100 Language understanding (LU) modules for spoken dialogue systems in an early phase of their development need to be (i) easy to construct, and (ii) robust against various expressions. In this paper, we describe a method for constructing LU modules easily without a large(More)
The aim in this thesis is to establish a computational model of discourse context on the basis of discourse salience. Dealing with discourse context is an important requirement for various discourse processing systems (e.g., discussion support ones and conversation ones) because the meaning of language expressions essentially depends on the discourse(More)
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