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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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Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
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Abstract:
In this thesis, we devise computational models for tracking sung lyrics in multi-instrumental music recordings. We consider not only the low-level acoustic characteristics, representing the timbre of the sung phonemes, but also higher-level music knowledge, that is complementary to lyrics. We build probabilistic models, based on dynamic Bayesian networks (DBN) that represent the relation of phoneme transitions to two music knowledge facets: the temporal structure of a lyrics line and the structure of the metrical cycle. In one model we exploit the fact the expected syllable durations depend on their position within a lyrics line. Then in another model, we propose how to estimate vocal onsets by tracking simultaneously the position in the metrical cycle, and how these estimated onsets influence the transitions between consecutive phonemes. Using the proposed models sung lyrics are automatically aligned to written lyrics on datasets from Ottoman Turkish makam and Beijing opera, whereby principles, specific for ... : Funded byCompMusic project ( European Research Council Grant grant agreement 267583) and the Catalan Scholarship by the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) ...
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Keyword:
Signal processing; Machine learning; Music information retrieval; Singing voice; Lyrics; Lyrics-to-audio alignment; Phonemes; Music scores; Turkish makam music; Beijing Opera; Hidden Markov models; Dynamic Bayesian Networks
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URL: https://dx.doi.org/10.5281/zenodo.841980
https://zenodo.org/record/841980
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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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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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| 14 |
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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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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