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English machine reading comprehension: new approaches to answering multiple-choice questions
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Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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Quantum semantics of text perception
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal-centralesupelec.archives-ouvertes.fr/hal-03147747 ; Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-83490-9⟩ (2021)
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Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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Learning to scale multilingual representations for vision-language tasks
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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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Multilingual Information Access (MLIA) Tools on Google and WorldCat: Bi/Multilingual University Students’ Experience and Perceptions
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In: FIMS Publications (2019)
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ImproteK: introducing scenarios into human-computer music improvisation
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In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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Abstract:
International audience ; This article focuses on the introduction of control, authoring, and composition in human-computer music improvisation through the description of a guided music generation model and a reactive architecture, both implemented in the software ImproteK. This interactive music system is used with expert improvisers in work sessions and performances of idiomatic and pulsed music, and more broadly in situations of structured or composed improvisation. The article deals with the integration of specifications in the music generation process by means of a fixed or dynamic "scenario", and addresses the issue of the dialectic between reactivity and planning in interactive music improvisation. It covers the different levels involved in the machine improvisation: the integration of anticipation relative to a predefined structure in a guided generation process at a symbolic level, an architecture combining this anticipation with reactivity using mixed static/dynamic scheduling techniques, and an audio rendering module performing live re-injection of captured material in synchrony with a non-metronomic beat. Finally, it sketches a framework to compose improvisation sessions at the scenario level, extending the initial musical scope of the system. All these points are illustrated by videos of performances or work sessions with musicians.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts; Abstraction; ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems; ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.3: Pattern matching; ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g.; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.1: Intelligent agents; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.8: Problem Solving; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing; and processing; and Search/I.2.8.4: Heuristic methods; Combinatorics on words; Control Methods; HCI)/H.5.5: Sound and Music Computing/H.5.5.1: Modeling; HCI)/H.5.5: Sound and Music Computing/H.5.5.2: Signal analysis; HCI)/H.5.5: Sound and Music Computing/H.5.5.3: Systems; Heuristic function construction; Intelligent agents; Markov processes; modeling and modularity; Modeling methodologies; Motif discovery; Music retrieval; Performing arts; Planning under uncertainty; Real-time system architecture; Sound and music computing; Symbolic and algebraic algorithms; synthesis
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URL: https://hal.archives-ouvertes.fr/hal-01380163/file/ACM-CiE_ImproteK_Nika-et-al_2017.pdf
https://doi.org/10.1145/3022635
https://hal.archives-ouvertes.fr/hal-01380163/document
https://hal.archives-ouvertes.fr/hal-01380163
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| 8 |
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
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Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
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| 10 |
Knowledge-based probabilistic modeling for tracking lyrics in music audio signals
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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Distributional Thesauri for Information Retrieval and vice versa
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In: Proceedings of Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394770 ; Language and Resource Conference, LREC, May 2016, Portoroz, Slovenia (2016)
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Evaluating topic model interpretability from a primary care physician perspective.
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| 13 |
Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries
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In: 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02052345 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016)
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Proceedings of the 7th Workshop on Computational Models of Narrative
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In: 7th Workshop on Computational Models of Narrative (CMN 2016) ; https://hal.inria.fr/hal-01427217 ; 7th Workshop on Computational Models of Narrative (CMN 2016), Jul 2016, Cracovie, Poland. 53, 2016, OASICS, 978-3-95977-020-0 ; http://drops.dagstuhl.de/portals/oasics/index.php?semnr=16021 (2016)
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Special Session on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData 2016)
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In: 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016) ; https://hal.archives-ouvertes.fr/hal-03176429 ; Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta; Patti, Viviana; Viviancos, Emilio. 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), Oct 2016, Montréal, Canada. 2016 ; https://sites.ualberta.ca/~dsaa16/specialsessions.html (2016)
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| 17 |
Efficient Inference, Search and Evaluation for Latent Variable Models of Text with Applications to Information Retrieval and Machine Translation
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In: Doctoral Dissertations (2016)
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| 18 |
Thésaurus distributionnels pour la recherche d'information et vice-versa
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In: Conférence en Recherche d’Information et Applications ; https://hal.archives-ouvertes.fr/hal-01226532 ; Conférence en Recherche d’Information et Applications, Mar 2015, Paris, France (2015)
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| 19 |
Thésaurus distributionnels pour la recherche d'information et vice-versa
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In: ISSN: 1279-5127 ; EISSN: 1963-1014 ; Document Numérique ; https://hal.archives-ouvertes.fr/hal-01226551 ; Document Numérique, Lavoisier, 2015, 18 (2-3), ⟨10.3166/DN.18.2-3.101-121⟩ (2015)
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| 20 |
Single-word predictions of upcoming language during comprehension: Evidence from the cumulative semantic interference task.
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In: Cognitive psychology, vol 79 (2015)
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