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1
Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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2
An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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3
Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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4
Analogy between concepts
In: ISSN: 0004-3702 ; Artificial Intelligence ; https://hal.inria.fr/hal-02186292 ; Artificial Intelligence, Elsevier, 2019, 275, pp.487-539. ⟨10.1016/j.artint.2019.06.008⟩ ; https://www.sciencedirect.com/science/article/pii/S0004370218301863 (2019)
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5
Location extraction from tweets
In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-02640811 ; Information Processing and Management, Elsevier, 2018, 54 (2), pp.129-144. ⟨10.1016/j.ipm.2017.11.001⟩ (2018)
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6
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining
In: Proceedings of the 4th Workshop on Argument Mining ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) ; https://hal.archives-ouvertes.fr/hal-02640996 ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. pp.85-90 (2017)
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7
Mining Incoherent Requirements in Technical Specifications
In: NLDB 2017: Natural Language Processing and Information Systems ; 22nd International conference on Applications of Natural Language Processing to Information Systems (NLDB 2017) ; https://hal.archives-ouvertes.fr/hal-02603907 ; 22nd International conference on Applications of Natural Language Processing to Information Systems (NLDB 2017), Jun 2017, Liège, Belgium. pp.71-83 (2017)
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8
SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media
In: 3rd International Conference on Arabic Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686504 ; 3rd International Conference on Arabic Computational Linguistics, Nov 2017, Dubaï, United Arab Emirates. pp.161 - 168, ⟨10.1016/j.procs.2017.10.105⟩ (2017)
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9
Argument Compound Mining in Technical Texts: linguistic structures, implementation and annotation schemas
In: Proceedings of ECA Lisbon 2015. Studies in logic and argumentation ; 1st European Conference on Argumentation (ECA 2015) ; https://hal.archives-ouvertes.fr/hal-01327090 ; 1st European Conference on Argumentation (ECA 2015), Jun 2015, Lisbon, Portugal. pp. 1 (2015)
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10
Towards a Contextual Pragmatic Model to Detect Irony in Tweets
In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing Volume 2 ; 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015) ; https://hal.archives-ouvertes.fr/hal-01334719 ; 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Jul 2015, Beijing, China. pp.PP. 644-650, ⟨10.3115/v1/P15-2106⟩ (2015)
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11
Correlating ASR Errors with Developmental Changes in Speech Production: A Study of 3-10-Year-Old European Portuguese Children's Speech
In: Proceedings of the Workshop on Child Computer Interaction ; Workshop on Child Computer Interaction - WOCCI 2014 ; https://hal.archives-ouvertes.fr/hal-01152655 ; Workshop on Child Computer Interaction - WOCCI 2014, Sep 2014, Singapore, Singapore. pp. 1-7 (2014)
Abstract: International audience ; Automatically recognising children's speech is a very difficult task. This difficulty can be attributed to the high variability in children's speech, both within and across speakers. The variability is due to developmental changes in children's anatomy, speech production skills et cetera, and manifests itself, for example, in fundamental and formant frequencies, the frequency of disfluencies, and pronunciation quality. In this paper, we report the results of acoustic and auditory analyses of 3-10-year-old European Portuguese children's speech. Furthermore, we are able to correlate some of the pronunciation error patterns revealed by our analyses - such as the truncation of consonant clusters - with the errors made by a children's speech recogniser trained on speech collected from the same age group. Other pronunciation error patterns seem to have little or no impact on speech recognition performance. In future work, we will attempt to use our findings to improve the performance of our recogniser.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Acoustic analysis; Auditory analysis; Automatic speech recognition; Children’s speech; Error analysis; European Portuguese; Pronunciation quality
URL: https://hal.archives-ouvertes.fr/hal-01152655
https://hal.archives-ouvertes.fr/hal-01152655/document
https://hal.archives-ouvertes.fr/hal-01152655/file/Hamalainen_13251.pdf
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12
Automatically Recognising European Portuguese Children's Speech
In: Computational Processing of the Portuguese Language ; International Conference on Computational Processing of Portuguese - PROPOR 2014 ; https://hal.archives-ouvertes.fr/hal-01146745 ; International Conference on Computational Processing of Portuguese - PROPOR 2014, Oct 2014, São Carlos, Brazil. pp. 1-11 (2014)
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13
A framework to extract arguments in opinion text
In: ISSN: 1557-3958 ; EISSN: 1557-3966 ; International Journal of Cognitive Informatics and Natural Intelligence ; https://hal.archives-ouvertes.fr/hal-03467770 ; International Journal of Cognitive Informatics and Natural Intelligence, IGI Global, 2012, 6 (3, Article 4), pp.342-367. ⟨10.4018/jcini.2012070104⟩ ; https://www.igi-global.com/gateway/article/74163 (2012)
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