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Robust Question Answering for Speech Transcripts Using Minimal Syntactic Analysis
[chapter]
Lecture Notes in Computer Science
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For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. ...
This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. ...
This paper describes UPC's participation in the CLEF 2007 Question Answering on Speech Transcripts track. ...
doi:10.1007/978-3-540-85760-0_56
fatcat:teobynnqsvcrxdbm3vcsc6xz5u
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008
[chapter]
2009
Lecture Notes in Computer Science
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For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. ...
This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. ...
Introduction The CLEF 2008 Question Answering on Speech Transcripts (QAst) track [9] consists of five scenarios with several tasks: Question Answering (QA) in manual transcripts of recorded lectures ...
doi:10.1007/978-3-642-04447-2_61
fatcat:cd4qc6s7endkxp7jlr6ijgjsyi
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2009
[chapter]
2010
Lecture Notes in Computer Science
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For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. ...
This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. ...
Introduction The CLEF 2008 Question Answering on Speech Transcripts (QAst) track [9] consists of five scenarios with several tasks: Question Answering (QA) in manual transcripts of recorded lectures ...
doi:10.1007/978-3-642-15754-7_34
fatcat:i4hs5hmcj5drhj7o2tbrwnur64
Page 717 of Linguistics and Language Behavior Abstracts: LLBA Vol. 23, Issue 2
[page]
1989
Linguistics and Language Behavior Abstracts: LLBA
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
; 8903482
Text Segmentation for Speech, Brown Corpus analysis; word class tag- ging; 8903440
Text Segmentation for Speech, English tone units; spoken discourse, segmentation rules; 8903479
Text Segmentation ...
; word role; 8903476
question-answer program, user’s domain knowledge effect; part-/ process-oriented descriptive strategies proposed; TAILOR computer system implemented; 8903467
Russian ellipsis/null ...
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks
[article]
1997
arXiv
pre-print
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A screening approach is a flat analysis which uses shallow sequences of category representations for analyzing an utterance at various syntactic, semantic and dialog levels. ...
In this paper, we focus on a detailed description of SCREEN's architecture, the flat syntactic and semantic analysis, the interaction with a speech recognizer, and a detailed evaluation analysis of the ...
Furthermore, we use transcripts of spontaneous language for training in the domain of meeting arrangements. Most utterances are questions and answers about dates and locations. ...
arXiv:cmp-lg/9702001v1
fatcat:eiamo7gybrhoxg2gfczpbydwte
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks
1997
The Journal of Artificial Intelligence Research
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A screening approach is a flat analysis which uses shallow sequences of category representations for analyzing an utterance at various syntactic, semantic and dialog levels. ...
In this paper, we focus on a detailed description of SCREEN's architecture, the flat syntactic and semantic analysis, the interaction with a speech recognizer, and a detailed evaluation analysis of the ...
Furthermore, we use transcripts of spontaneous language for training in the domain of meeting arrangements. Most utterances are questions and answers about dates and locations. ...
doi:10.1613/jair.282
fatcat:rogcszyhtjfl5p3h4qrtb3zjb4
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
[article]
2021
arXiv
pre-print
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The usefulness of the proposed Confusion2vec representation is evaluated using semantic, syntactic and acoustic analogy and word similarity tasks. ...
We demonstrate that Confusion2vec subword modeling eliminates the need for retraining/adapting the natural language understanding models on ASR transcripts. ...
The Acoustic analogy task comprises of word pair analogies compiled using homophones which answer questions of the form: W 1 sounds similar to W 2 as W 3 sounds similar to W 4 . ...
arXiv:2102.02270v2
fatcat:vub2jezhwffetbriizz5ftctci
Quantified language connectedness in schizophrenia-spectrum disorders
2021
Psychiatry Research
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Mean, minimal and variance of similarity were calculated per window size and used in a random forest classifier to distinguish patients and healthy controls. ...
Using a semi-structured interview, speech of 50 patients with a schizophrenia-spectrum disorder and 50 controls was recorded. ...
Acknowledgements The authors are grateful to all participants and wish to thank all research interns for their help with data collection and preparation. ...
doi:10.1016/j.psychres.2021.114130
pmid:34332431
fatcat:o55lefzk3fespojgapfucb5sy4
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning
2019
Interspeech 2019
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robustness to lexical and stylistic variations as well as automatic speech recognition errors. ...
The underlying question throughout this study is whether adversarial learning can be used to combine data from different sources and train models on a higher level of abstraction in order to increase their ...
[9] and the introduction of multi-task learning to jointly handle syntactic and semantic analysis [10] . ...
doi:10.21437/interspeech.2019-2732
dblp:conf/interspeech/MarzinottoDB19
fatcat:vk3dl44zxnf3tejbmomoxilfc4
Reranked aligners for interactive transcript correction
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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ASR errors that might harm the alignment are addressed through phonetic matching, and a word embedding distance is used to account for the use of synonyms outside targeted segments. ...
We propose to use variants of Levenshtein alignment for merging an errorful utterance with a targeted rephrase of an error segment. ...
The merger processes the answers to clarification questions to produce a better transcript before translation. ...
doi:10.1109/icassp.2014.6853575
dblp:conf/icassp/FavreRB14
fatcat:jkp3zacqlngsthb7frg44xdhom
The Role of Fundamental Frequency and Temporal Envelope in Processing Sentences with Temporary Syntactic Ambiguities
2016
Language and Speech
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Previous experiments have demonstrated the impact of speech prosody on syntactic processing. ...
The present study was designed to examine how listeners use specific acoustic properties of prosody for grammatical interpretation. ...
For sentence (2a), participants would be asked "Did Mary bathe the baby?". All questions corresponding to GP sentences had a correct answer of "NO," due to the syntactic structure. ...
doi:10.1177/0023830916652649
pmid:28915784
fatcat:2qh45kzh6jasfbxjyhcnxnf2si
A Robust System for Natural Spoken Dialogue
[article]
1996
arXiv
pre-print
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Robustness is achieved by a combination of statistical error post-correction, syntactically- and semantically-driven robust parsing, and extensive use of the dialogue context. ...
It specifically addresses the issue of robust interpretation of speech in the presence of recognition errors. ...
Many thanks to Alex Rudnicky, Ronald Rosenfeld and Sunil Issar at CMU for providing the Sphinx-II system and related tools. ...
arXiv:cmp-lg/9606023v1
fatcat:tahoou6wircxnooyj57ch67g7m
The effects of processing and sequence organization on the timing of turn taking: a corpus study
2015
Frontiers in Psychology
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We use the Switchboard corpus of English telephone conversation, already richly annotated for syntactic structure speech act sequences, and segmental alignment. ...
An alternative view comes from the field of conversation analysis, which predicts that the rules of turn-taking and sequence organization may dictate the variation in gap durations (e.g., the functional ...
We thank the Max Planck Society for additional support. ...
doi:10.3389/fpsyg.2015.00509
pmid:26029125
pmcid:PMC4429583
fatcat:humkxc3wlrhujg6gixi3o5gd3a
Prediction of psychosis across protocols and risk cohorts using automated language analysis
2018
World Psychiatry
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Bearden et al 8 applied manually coded linguistic analyses to brief speech transcripts in a CHR cohort, finding that both semantic features (illogical thinking) and reduction in syntactic complexity (poverty ...
More broadly, automated linguistic analysis can be a powerful tool for diagnosis and treatment across neuropsychiatry. ...
to submit the manuscript for publication. ...
doi:10.1002/wps.20491
pmid:29352548
pmcid:PMC5775133
fatcat:splhzfldnvhlzncx3k66sldhly
A robust system for natural spoken dialogue
1996
Proceedings of the 34th annual meeting on Association for Computational Linguistics -
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Robustness is achieved by a combination of statistical error post-correction, syntactically-and semantically-driven robust parsing, and extensive use of the dialogue context. ...
It specifically addresses the issue of robust interpretation of speech in the presence of recognition errors. ...
Many thanks to Alex Rudnicky, Ronald Rosenfeld and Sunil Issar at CMU for providing the Sphinx-II system and related tools. ...
doi:10.3115/981863.981872
dblp:conf/acl/AllenMRS96
fatcat:ue7dybxtazfghirxb6lw5obfwi
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