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Coarse-to-Fine Entity Alignment for Chinese Heterogeneous Encyclopedia Knowledge Base
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In: Future Internet; Volume 14; Issue 2; Pages: 39 (2022)
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Translation Alignment with Ugarit
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In: Information; Volume 13; Issue 2; Pages: 65 (2022)
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Prosodic Morphology: Constraint Interaction and Satisfaction ...
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How usable are digital collections for endangered languages? A review
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5219 ; 2473-8689 (2022)
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A logical model for the ontology alignment repair game
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In: ISSN: 1387-2532 ; EISSN: 1573-7454 ; Autonomous Agents and Multi-Agent Systems ; https://hal.archives-ouvertes.fr/hal-03426142 ; Autonomous Agents and Multi-Agent Systems, Springer Verlag, 2021, 35 (2), pp.1-32. ⟨10.1007/s10458-021-09508-8⟩ (2021)
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Abstract:
International audience ; Ontology alignments enable agents to communicate while preserving heterogeneity in their knowledge. Alignments may not be provided as input and should be able to evolve when communication fails or when new information contradicting the alignment is acquired. The Alignment Repair Game (ARG) has been proposed for agents to simultaneously communicate and repair their alignments through adaptation operators when communication failures occur. ARG has been evaluated experimentally and the experiments showed that agents converge towards successful communication and improve their alignments. However, whether the adaptation operators are formally correct, complete or redundant could not be established by experiments. We introduce a logical model, Dynamic Epistemic Ontology Logic (DEOL), that enables us to answer these questions. This framework allows us (1) to express the ontologies and alignments used via a faithful translation from ARG to DEOL, (2) to model the ARG adaptation operators as dynamic modalities and (3) to formally define and establish the correctness, partial redundancy and incompleteness of the adaptation operators in ARG.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-WB]Computer Science [cs]/Web; Agent communication; Alignment repair; Dynamic Epistemic Logic; Multi-agent systems; Ontology alignment
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URL: https://hal.archives-ouvertes.fr/hal-03426142/document
https://hal.archives-ouvertes.fr/hal-03426142
https://doi.org/10.1007/s10458-021-09508-8
https://hal.archives-ouvertes.fr/hal-03426142/file/vandenberg2021a.pdf
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| 9 |
Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (2), pp.353-388. ⟨10.1007/s10579-021-09532-w⟩ ; https://link.springer.com/journal/10579/volumes-and-issues/55-2 (2021)
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| 10 |
Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
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In: ISSN: 1574-020X ; EISSN: 1572-8412 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, ⟨10.1007/s10579-021-09532-w⟩ (2021)
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| 11 |
Morphological split ergative alignment and syntactic nominative–accusative alignment in Pesh.
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In: ISSN: 0020-7071 ; EISSN: 1545-7001 ; International Journal of American Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03112558 ; International Journal of American Linguistics, University of Chicago Press, 2021, 87 (4), pp.501-537 (2021)
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MORPHOLOGICAL SPLIT ERGATIVE ALIGNMENT AND SYNTACTIC NOMINATIVE-ACCUSATIVE ALIGNMENT IN PESH
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In: ISSN: 0020-7071 ; EISSN: 1545-7001 ; International Journal of American Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03112558 ; International Journal of American Linguistics, University of Chicago Press, 2021, 87 (4), pp.501-537 (2021)
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| 13 |
Knowledge engineering in the sourcing domain for the recommendation of providers ; Ingénierie des connaissances dans le domaine du sourcing pour la recommandation de prestataires
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In: https://tel.archives-ouvertes.fr/tel-03336353 ; Information Retrieval [cs.IR]. Université Côte d'Azur, 2021. English. ⟨NNT : 2021COAZ4024⟩ (2021)
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Leveraging lyrics from audio for MIR ; Exploiter les paroles de chansons à partir de l'audio pour le MIR
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In: https://tel.archives-ouvertes.fr/tel-03558515 ; Signal and Image processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT027⟩ (2021)
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Synchronic Fortition in Five Romance Languages? A Large Corpus-Based Study of Word-Initial Devoicing
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In: Proceedings of Interspeech ; Interspeech 2021 ; https://hal.sorbonne-universite.fr/hal-03339852 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.996-1000, ⟨10.21437/Interspeech.2021-939⟩ (2021)
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Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice
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In: Proceedings of Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03552964 ; Proceedings of Interspeech 2021, International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.61-65, ⟨10.21437/interspeech.2021-1676⟩ ; https://www.interspeech2021.org/ (2021)
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| 17 |
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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“Alignment is All You Need”: Analyzing Cross-Lingual Document Similarity for Domain-Specific Applications ...
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Dutta, Sourav. - : Leibniz Universität Hannover (LUH),L3S Research Center,CLEOPATRA ITN, 2021
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