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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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Abstract:
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment model (called CFEA) consisting of three stages: coarse-grained, middle-grained, and fine-grained. In the coarse-grained stage, a pruning strategy based on the restriction of entity types is adopted to reduce the number of candidate matching entities. The goal of this stage is to filter out pairs of entities that are clearly not the same entity. In the middle-grained stage, we calculate the similarity of entity pairs through some key attribute values and matched attribute values, the goal of which is to identify the entity pairs that are obviously not the same entity or are obviously the same entity. After this step, the number of candidate entity pairs is further reduced. In the fine-grained stage, contextual information, such as abstract and description text, is considered, and topic modeling is carried out to achieve more accurate matching. The basic idea of this stage is to use more information to help judge entity pairs that are difficult to distinguish using basic information from the first two stages. The experimental results on real-world datasets verify the effectiveness of our model compared with baselines.
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Keyword:
Chinese knowledge base; coarse-to-fine; entity alignment
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URL: https://doi.org/10.3390/fi14020039
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| 5 |
Translation Alignment with Ugarit
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In: Information; Volume 13; Issue 2; Pages: 65 (2022)
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| 6 |
Prosodic Morphology: Constraint Interaction and Satisfaction ...
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| 7 |
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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| 8 |
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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| 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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| 12 |
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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| 14 |
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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| 15 |
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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| 16 |
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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| 20 |
“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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