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1
Cross-lingual and cross-domain evaluation of Machine Reading Comprehension with Squad and CALOR-Quest corpora
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02973245 ; LREC 2020, May 2020, MARSEILLE, France. pp.5491-5497 ; https://lrec2020.lrec-conf.org/en/ (2020)
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2
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text
In: LREC proceedings ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01943391 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 2018, Miyazaki, Japan (2018)
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3
Prédiction de l'échec d'une conversation médiée dans un contexte de dialogues à rôles asymétriques
In: Vingt-cinquième conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01798604 ; Vingt-cinquième conférence sur le Traitement Automatique des Langues Naturelles (TALN), ATALA, May 2018, Rennes, France (2018)
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4
Iterative PLDA Adaptation for Speaker Diarization
In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01433172 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.2175 - 2179, ⟨10.21437/Interspeech.2016-572⟩ (2016)
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5
What Makes a Speaker Recognizable in TV Broadcast? Going Beyond Speaker Identification Error Rate
In: Interspeech 2015 ; ERRARE Workshop, a satellite event of Interspeech 2015. ; https://hal.archives-ouvertes.fr/hal-01433205 ; ERRARE Workshop, a satellite event of Interspeech 2015., 2015, Sinaia, Romania (2015)
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6
Impact of overlapping speech detection on speaker diarization for broadcast news and debates
In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01836475 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, Jan 2013, Vancouver, Canada (2013)
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7
Automatic transcription error recovery for Person Name Recognition
In: Interspeech 2012 ; https://hal.archives-ouvertes.fr/hal-02356295 ; Interspeech 2012, Sep 2012, Portland, United States (2012)
Abstract: International audience ; Person Name Recognition from transcriptions of TV shows spoken content is a crucial step towards multimedia document indexing. Recognizing Person Names implies the combination of three main modules: Automatic Speech Recognition, Named-Entity Recognition and Entity Linking to associate the recognized surface form to a normalized Person Name. The three modules are potentially error prone. Hence, beyond each module's intrinsic complexity, the Person Names issue suffers from the highly dynamic evolution of vocabularies and occurrence contexts that are correlated to various dimensions (such as actuality, topic of the show…). This paper focuses on the first module and proposes an approach to recover from transcription errors made on Person Names. An error correction method is applied on the textual ASR output and we show that it is all the more efficient that it is coupled with a specific error region detection system. Experiments on the French REPERE database show that Person Names transcription can be efficiently corrected while preserving the overall transcription quality and thus increasing the performance of the whole Person Name Recognition process.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; person name entity recognition; transcription error detection
URL: https://hal.archives-ouvertes.fr/hal-02356295/file/i12_1007.pdf
https://hal.archives-ouvertes.fr/hal-02356295
https://hal.archives-ouvertes.fr/hal-02356295/document
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8
Speaker recognition by location in the space of reference speakers
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 2, 127-141
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9
Optimizing the coverage of a speech database through a selection of representative speaker recordings
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 10, 1319-1348
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