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Studies in Analytical Reproducibility: the Conquaire Project ...
Cimiano, Philipp; Pietsch, Christian; Wiljes, Cord. - : Universität Bielefeld, 2021
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Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus ...
Ell, Basil; Elahi, Mohammad Fazleh; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
Abstract: There is a well-known lexical gap between content expressed in the form of natural language (NL) texts and content stored in an RDF knowledge base (KB). For tasks such as Information Extraction (IE), this gap needs to be bridged from NL to KB, so that facts extracted from text can be represented in RDF and can then be added to an RDF KB. For tasks such as Natural Language Generation, this gap needs to be bridged from KB to NL, so that facts stored in an RDF KB can be verbalized and read by humans. In this paper we propose LexExMachina, a new methodology that induces correspondences between lexical elements and KB elements by mining class-specific association rules. As an example of such an association rule, consider the rule that predicts that if the text about a person contains the token "Greek", then this person has the relation nationality to the entity Greece. Another rule predicts that if the text about a settlement contains the token "Greek", then this settlement has the relation country to the entity ... : OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 33:1-33:21 ...
Keyword: Association Rules; Computing methodologies → Information extraction; Computing methodologies → Natural language generation; Lexicon; Ontology; Pattern Mining
URL: https://dx.doi.org/10.4230/oasics.ldk.2021.33
https://drops.dagstuhl.de/opus/volltexte/2021/14569/
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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D3.2 Research Challenge Report v2 ...
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D5.1 Report on Vocabularies for Interoperable Language Resources and Services ...
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D5.1 Report on Vocabularies for Interoperable Language Resources and Services ...
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D3.2 Research Challenge Report v2 ...
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Recent Developments for the Linguistic Linked Open Data Infrastructure ...
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Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data ...
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Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data ...
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Extending Neural Question Answering with Linguistic Input Features ...
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Extending Neural Question Answering with Linguistic Input Features ...
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17
Populating a Knowledge Base with Object-Location Relations Using Distributional Semantics
In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) ; https://hal.inria.fr/hal-01403909 ; 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Nov 2016, Bologna, Italy. pp.34 - 50, ⟨10.1007/978-3-319-49004-5_3⟩ (2016)
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The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud ...
McCrae, John Philip; Chiarcos, Christian; Bond, Francis. - : European Language Resources Association (ELRA), 2016
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The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud
In: McCrae, John Philip; Chiarcos, Christian; Bond, Francis; Cimiano, Philipp; Declerck, Thierry; de Melo, Gerard; Gracia, Jorge; Hellmann, Sebastian; Klimek, Bettina; Moran, Steven; Osenova, Petya; Pareja-Lora, Antonio; Pool, Jonathan (2016). The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia, 23 May 2016 - 28 May 2016. European Language Resources Association (ELRA), 2435-2441. (2016)
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One ontology to bind them all: The META-SHARE OWL ontology for the interoperability of linguistic datasets on the Web ...
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