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Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph
In: Proceedings of LREC 2022 ; https://hal-amu.archives-ouvertes.fr/hal-03655636 ; Proceedings of LREC 2022, Jun 2022, Marseille, France (2022)
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Structure and Learning (Dagstuhl Seminar 21362)
Dong, Tiansi; Rettinger, Achim; Tang, Jie; Tversky, Barbara; van Harmelen, Frank. - : Dagstuhl Reports. DagRep, Volume 11, Issue 8, 2022
Abstract: This report documents the program and the outcomes of Dagstuhl Seminar 21362 "Structure and Learning", held from September 5 to 10, 2021. Structure and learning are among the most prominent topics in Artificial Intelligence (AI) today. Integrating symbolic and numeric inference was set as one of the next open AI problems at the Townhall meeting "A 20 Year Roadmap for AI" at AAAI 2019. In this Dagstuhl seminar, we discussed related problems from an interdiscplinary perspective, in particular, Cognitive Science, Cognitive Psychology, Physics, Computational Humor, Linguistic, Machine Learning, and AI. This report overviews presentations and working groups during the seminar, and lists two open problems.
Keyword: Data processing Computer science; Knowledge graph; Machine learning; Neural-symbol unification
URL: https://doi.org/10.4230/DagRep.11.8.11
https://nbn-resolving.org/urn:nbn:de:0030-drops-157670
https://drops.dagstuhl.de/opus/volltexte/2022/15767/
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3
Mastering Occupation Data ...
Winzenried, Stefan. - : Zenodo, 2022
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4
LinkingPark: Automatic Semantic Table Interpretation Software ...
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LinkingPark: Automatic Semantic Table Interpretation Software ...
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6
Mastering Occupation Data ...
Winzenried, Stefan. - : Zenodo, 2022
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7
Structure and Learning (Dagstuhl Seminar 21362) ...
Dong, Tiansi; Rettinger, Achim; Tang, Jie. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022
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8
MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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9
Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment
In: Applied Sciences; Volume 12; Issue 9; Pages: 4670 (2022)
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10
A Multi-Entity Knowledge Joint Extraction Method of Communication Equipment Faults for Industrial IoT
In: Electronics; Volume 11; Issue 7; Pages: 979 (2022)
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11
CSKG: The Commonsense Knowledge Graph ...
Ilievski, Filip. - : Zenodo, 2022
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12
CSKG: The Commonsense Knowledge Graph ...
Ilievski, Filip. - : Zenodo, 2022
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13
Neural-based Knowledge Transfer in Natural Language Processing
Wang, Chao. - 2022
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14
Linking an Abstract Corpus Grammar to a Lexical Semantic Network
In: https://hal.archives-ouvertes.fr/hal-03552630 ; [Research Report] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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15
Coupler syntaxe et sémantique dans une même base de connaissances linguistiques
In: https://hal.archives-ouvertes.fr/hal-03552622 ; [Rapport de recherche] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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16
Geographic Question Answering with Spatially-Explicit Machine Learning Models
Mai, Gengchen. - : eScholarship, University of California, 2021
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17
Knowledge Graph publication and browsing using Neo4J
In: The 1st workshop on Squaring the circle on graphs ; https://hal.archives-ouvertes.fr/hal-03453479 ; The 1st workshop on Squaring the circle on graphs, Sep 2021, Amsterdam, Netherlands (2021)
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18
Utilising knowledge graph embeddings for data-to-text generation
Arcan, Mihael; Pasricha, Nivranshu; Buitelaar, Paul. - : Association for Computational Linguistics, 2021
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19
Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction
Jen, Chun-Heng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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20
Leveraging literals for knowledge graph embeddings ...
Gesese, Genet Asefa. - : CEUR-WS.org, 2021
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