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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...289 Hits 81 – 100 of 5.767 81 Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic Shapiro, Igor; Färber, Michael; Saier, Tarek. - : Association for Computational Linguistics, 2022 BASE Show details 82 Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning Niehues, Jan; Cho, Eunah. - : Association for Computational Linguistics, 2022 BASE Show details 83 START adolescents: study protocol of a randomised controlled trial to investigate the efficacy of a low-threshold group treatment programme in traumatised adolescent refugees Sobanski, Esther; Hammerle, Florian; Dixius, Andrea... In: BMJ Open, 11 (12), e057968 ; ISSN: 2044-6055 (2022) BASE Show details 84 The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016 Cho, Eunah; Niehues, Jan; Allauzen, Alexandre. - : Association for Computational Linguistics, 2022 BASE Show details 85 The IWSLT 2018 Evaluation Campaign Turchi, Marco; Federico, Marcello; Jan, Niehues. - : Association for Computational Linguistics, 2022 BASE Show details 86 Lightly Supervised Quality Estimation Waibel, Alex; Niehues, Jan; Stüker, Sebastian. - : Association for Computational Linguistics, 2022 BASE Show details 87 The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018 Pham, Ngoc-Quan; Niehues, Jan; Waibel, Alexander. - : Association for Computational Linguistics, 2022 BASE Show details 88 A Framework of Personality Cues for Conversational Agents Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich. - 2022 BASE Show details 89 Joint WMT Submission of the QUAERO Project Ney, Hermann; Senellart, Jean; Crego, Josep Maria. - : Association for Computational Linguistics, 2022 BASE Show details 90 Discriminative Word Alignment via Alignment Matrix Modeling Niehues, Jan; Vogel, Stephan. - : Association for Computational Linguistics, 2022 BASE Show details 91 Integrating Encyclopedic Knowledge into Neural Language Models Niehues, Jan; Waibel, Alex; Zhang, Yang. - : Association for Computational Linguistics, 2022 BASE Show details 92 Analysis and classification of privacy-sensitive content in social media posts Bioglio, Livio; Pensa, Ruggero G.. - 2022 BASE Show details 93 Lexical Comparisons between Proto-Kuki-Chin and Jinghpaw: Evidence for a Central Branch of Trans Himalayan Scott DeLancey In: Journal of the Southeast Asian Linguistics Society, Vol 15, Iss 1, Pp 72-92 (2022) (2022) BASE Show details 94 A Classification of the Nicobarese languages Paul Sidwell In: Journal of the Southeast Asian Linguistics Society, Vol 15, Iss 1, Pp 1-16 (2022) (2022) BASE Show details 95 A Neural Approach for Detecting Morphological Analogies Alsaidi, Safa; Decker, Amandine; Lay, Puthineath... In: The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) ; https://hal.inria.fr/hal-03313556 ; The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto/Online, Portugal (2021) BASE Show details 96 Tackling Morphological Analogies Using Deep Learning -- Extended Version Alsaidi, Safa; Decker, Amandine; Marquer, Esteban; Murena, Pierre-Alexandre; Couceiro, Miguel In: https://hal.inria.fr/hal-03425776 ; 2021 (2021) Abstract: Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and explainability concerns and that finds useful applications in artificial intelligence and natural language processing. In this paper, we address two problems, namely, analogy detection and resolution in morphology. Multiple symbolic approaches tackle the problem of analogies in morphology and achieve competitive performance. We show that it is possible to use a data-driven strategy to outperform those models. We propose an approach using deep learning to detect and solve morphological analogies. It encodes structural properties of analogical proportions and relies on a specifically designed embedding model capturing morphological characteristics of words. We demonstrate our model's competitive performance on analogy detection and resolution over multiple languages. We provide an empirical study to analyze the impact of balancing training data and evaluate the robustness of our approach to input perturbation. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; Analogy detection; Analogy solving; Classification ·Regression; Morphological word embeddings; Neural networks URL: https://hal.inria.fr/hal-03425776 BASE Hide details 97 Tra Intelligenza Artificiale e H-BIM per la descrizione semantica dei beni culturali: la Certosa di Pisa Croce, Valeria; Caroti, Gabriella; De Luca, Livio... In: 42e Conférence internationale des enseignants des disciplines de la représentation ; https://hal.archives-ouvertes.fr/hal-03360124 ; 42e Conférence internationale des enseignants des disciplines de la représentation, Sep 2021, Reggio Calabria, Italy. ⟨10.3280/oa-693.33⟩ (2021) BASE Show details 98 Constrained control of gene-flow models Mazari, Idriss; Ruiz-Balet, Domènec; Zuazua, Enrique In: https://hal.archives-ouvertes.fr/hal-02373668 ; 2021 (2021) BASE Show details 99 Relating starter cultures to volatile profile and potential markers in green Spanish-style table olives by compositional data analysis Garrido Fernández, A.; Benítez-Cabello, Antonio; Rodríguez-Gómez, Francisco J.. - : Elsevier, 2021 BASE Show details 100 Agir sur le corps pour se mouvoir dans l'espace : étude sémantique des verbes causatifs de mouvement à partir d'un corpus d'instructions de danse Minoccheri, Chiara; Aurnague, Michel In: ISSN: 0756-7138 ; Lexique ; https://hal.archives-ouvertes.fr/hal-03303949 ; Lexique, Presses Universitaires du Septentrion, 2021, pp.63-86 ; https://lexique.univ-lille.fr/agir-sur-le-corps-pour-se-mouvoir-dans-lespace-etude-semantique-des-verbes-causatifs-de-mouvement-a-partir-dun-corpus-dinstructions-de-danse.html (2021) BASE Show details Page: 1 2 3 4 5 6 7 8 9...289

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