Processing Unknown Words in a Dialogue System
نویسنده
چکیده
This paper describes a method of processing unknown words in a HPSGbased dialogue system, with acquisition of lexical semantics via clarification questions answered by the user. Use of a highly contextualized semantic representation, together with an utterance-anaphoric view of clarification, allows the clarificational dialogue to be integrated within the grammar and governed by standard rules of conversation.
منابع مشابه
Principles and design of an intelligent system for information retrieval over the internet with a multimodal dialogue interface
In the information society of the next millenium, information retrieval over the Internet will be indispensable for everyday life, and spoken language will be an essential medium for human-machine dialogue. This paper presents an overview of an intelligent system for information retrieval based on spoken dialogue, use of key concepts, processing of unknown words, knowledge acquisition, and agen...
متن کاملTauira: A tool for acquiring unknown words in a dialogue context
This paper describes a tool for acquiring unknown words, which operates in a bilingual human-machine dialogue system. When the user’s utterance includes a word which is not in the system’s lexicon, the system initiates a subdialogue to find out about the new word, by querying the user about the syntactic validity of a number of example sentences generated automatically from the grammar’s test s...
متن کاملSemantic processing of out-of-vocabulary words in a spoken dialogue system
One of the most important causes of failure in spoken dialogue systems is usually neglected: the problem of words that are not covered by the system’s vocabulary (out-of-vocabulary or OOV words). In this paper a methodology is described for the detection, classification and processing of OOV words in an automatic train timetable information system [2]. The various extensions that had to be effe...
متن کاملSemantic Processing of out - of - Vocabulary Words in Aspoken Dialogue
One of the most important causes of failure in spoken dialogue systems is usually neglected: the problem of words that are not covered by the system's vocabulary (out-of-vocabulary or OOV words). In this paper a methodology is described for the detection, classii-cation and processing of OOV words in an automatic train timetable information system 2]. The various extensions that had to be eeect...
متن کاملAn intelligent system for information retrieval over the internet through spoken dialogue
For the purpose of coping with the affluence of information available over the Internet, an efficient, accurate and user-friendly system for information retrieval is mandatory. This paper presents an intelligent system based on the use of spoken dialogue as the main channel for usersystem interface, use of key concepts, processing of unknown words, automatic acquisition of various kinds of know...
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 2002