Ranking Help Message Candidates Based on Robust Grammar Verification Results and Utterance History in Spoken Dialogue Systems
نویسندگان
چکیده
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 misrecognized or missed from such utterances. We first develop grammar verification for OOG utterances on the basis of a Weighted Finite-State Transducer (WFST). It robustly identifies a grammar rule that a user intends to utter, even when some important words are missed from the ASR result. We then adopt a ranking algorithm, RankBoost, whose features include the grammar verification results and the utterance history representing the user’s experience.
منابع مشابه
Selecting Help Messages by Using Robust Grammar Verification for Handling Out-of-Grammar Utterances in Spoken Dialogue Systems
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 utterances. Our grammar verification method uses a ...
متن کاملGenerating Utterances in Dialogue Systems
This paper describes the language output component of the Sundial spoken dialogue system. Following a dialogue planning decision to produce an utterance, an utterance planning component derives a semantic description drawing on a model of speakers' knowledge of the domain. This semantic description is linguistically real-ised by a generation component which draws on a bi-directional lexicon-gra...
متن کاملRobust parsing of utterances in negotiative dialogue
The rapidly increasing number of spoken-dialogue systems have led to numerous robust parsers for limited domains having been constructed during the last decade. By “parsing” we here mean a mapping from the input utterance to a context-independent semantic representation. By “robust” we mean that the parser will give a reasonable result even on very noisy input. In simple spoken-dialogue applica...
متن کاملRobust Parsing of Utterances i
The rapidly increasing number of spoken-dialogue systems have led to numerous robust parsers for limited domains having been constructed during the last decade. By “parsing” we here mean a mapping from the input utterance to a context-independent semantic representation. By “robust” we mean that the parser will give a reasonable result even on very noisy input. In simple spoken-dialogue applica...
متن کاملTargeted Help for Spoken Dialogue Systems
We present experimental evidence that providing naive users of a spoken dialogue system with immediate help messages related to their out-of-coverage utterances improves their success in using the system. A grammar-based recognizer and a Statistical Language Model (SLM) recognizer are run simultaneously. If the grammar-based recognizer suceeds, the less accurate SLM recognizer hypothesis is not...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009