Young, S.R., Matessa, M., "Using Pragmatic and Semantic Knowledge to Correct Parsing of Spoken Language Utterances", Eurospeech-91, 1991. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Statistical Method of Recognizing Local Cohesion in Spoken.. - Katoh, Morimoto (Correct)
....of the previous utterance is concerned with a question. This is because they use the coherence relation (local cohesion) between the two utterances, question response. In the conventional approach (i.e. rulebased approach) to processing the discourse structure [Hauptmann 88] Kudo 90] Yamaoka 91] Young 91] NLP engineers built discourse knowledge by hand coding. However, the rolebased approach has a bottleneck in that it is a hard job to add discourse knowledge when the employed NLP system deals with a larger domain and more vocabulary. Recently, statistical approaches have been attracting ....
Young, S. and Matessa, Y.: Using Pragmatic and Semantic Knowledge to Correct Parsing of Spoken Language Utterances, Proceedings of EUROSPEECH-91, pp. 223-227, 1991. 639
Spoken Dialogue Understanding and Local Context - Heeman (1994) (Correct)
....clues that they found relevant were duration of pause between words, presence of fragments, and lexical matching within a window of three words. However, they do not address the problem of determining the correction or distinguishing modification repairs from abridged repairs. Young and Matessa (Young and Matessa, 1991) have also done work in this area. In their approach, speech repairs are corrected after a opportunistic case frame parser analyzes the utterance. In fact the aim of their work is to detect and correct any misunderstandings that the parser makes, be them speech repairs, ungrammatical or ill formed ....
Young, Sheryl R. and Michael Matessa. 1991. Using pragmatic and semantic knowledge to correct parsing of spoken language utterances. In Proceedings of the 2nd European Conference on Speech Communication and Technology (Eurospeech 91), Genova, Italy, September.
Detecting and Correcting Speech Repairs - Heeman, Allen (1994) (16 citations) (Correct)
....clues that they found relevant were duration of pause between words, presence of fragments, and lexical matching within a window of three words. However, they do not address the problem of determining the correction or distinguishing modification repairs from abridged repairs. Young and Matessa (Young and Matessa, 1991) have also done work in this area. In their approach, speech repairs are corrected after a opportunisticcase frame parser analyzes the utterance. Their system looks for parts of the input utterance that were not used by the parser, and then uses semantic and pragmatic knowledge (of the limited ....
Young, Sheryl R. and Michael Matessa. 1991. Using pragmatic and semantic knowledge to correct parsing of spoken language utterances. In Proceedings of the 2nd European Conference on Speech Communication and Technology (Eurospeech 91), Genova, Italy, September.
Recognition Confidence Measures: Detection of Misrecognitions and.. - Young (1994) (2 citations) Self-citation (Young) (Correct)
No context found.
Young, S.R., Matessa, M., "Using Pragmatic and Semantic Knowledge to Correct Parsing of Spoken Language Utterances", Eurospeech-91, 1991.
Learning New Words from Spontaneous Speech: A Project Summary - Young (1993) (1 citation) Self-citation (Young) (Correct)
No context found.
Young, S.R., Matessa, M., "Using Pragmatic and Semantic Knowledge to Correct Parsing of Spoken Language Utterances," Eurospeech-91, 1991.
MINDS-II Feedback Architecture: Detection and Correction of.. - Sheryl Young And (1992) Self-citation (Young Matessa) (Correct)
....The MINDS II system corrects misrecognitions manifested by some sort of semantic inconsistency. It works by initially identifying regions of a parsed utterances which are misparsed or likely to contain misrecognitions. The system first tries to correct errors without feedback using the SOUL system [16, 17]. The SOUL system is a knowledge intensive reasoning system that performs a finegrained analysis of recognized, parsed spoken input. It is designed to process spontaneous speech, inclusive of all its dysfluencies, mid utterance corrections and edits as well as the ambiguous and un answerable ....
Young, S.R., Matessa, M. Using Pragmatic and Semantic Knowledge to Correct Parsing of Spoken Language Utterances. In Eurospeech-91. 1991. A Feedback Architecture for Speech Understanding I
State-of-the-art of Spoken Language Systems - a Survey - (ed.) (1992) (1 citation) (Correct)
No context found.
Young, S. and M. Matessa, "Using pragmatic and semantic knowledge to correct parsing of spoken language utterances", in Proc. Eurospeech 91, pp. 223-7. Yourdon, Edward: "Managing the System Life Cycle", Yourdon Press, New York, 1982.
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