Papers by Elena Montiel-Ponsoda

4 papers
Recent Developments for the Linguistic Linked Open Data Infrastructure (2020.lrec-1)

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Challenge: Language data is rarely 'ready-to-use' and language technology specialists spend over 80% of their time cleaning, organizing and collecting language datasets.
Approach: They propose a methodology for building data value chains based around language resources and language technologies that can be integrated by means of semantic technologies.
Outcome: The proposed methodology is based on language resources and language technologies that can be integrated by means of semantic technologies.
Orchestrating NLP Services for the Legal Domain (2020.lrec-1)

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Challenge: a legal technology system under development in the EU is based on semantic services and a multilingual legal knowledge Graph.
Approach: They propose a workflow manager that enables flexible orchestration of workflows . they describe different use cases and propose prototypical solutions .
Outcome: The proposed system is based on a set of natural language processing and document curation services and a multilingual legal knowledge graph that contains semantic information and meaningful references to legal documents.
Automatic Enrichment of Terminological Resources: the IATE RDF Example (L18-1)

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Challenge: a recent paper aims to automate the maintenance of terminological resources.
Approach: They propose automatic approaches to maintain and increase lexical coverage of knowledge bases by using machine translation and multilingual word sense disambiguation.
Outcome: The proposed approach outperforms the existing methods with random sentences in most languages .
Defying Wikidata: Validation of Terminological Relations in the Web of Data (2020.lrec-1)

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Challenge: a new approach to validate terminological data retrieved from open encyclopaedic knowledge bases is needed . the legal domain is one of the most valuable areas of knowledge in the world .
Approach: They propose to validate terminological data retrieved from open encyclopaedic knowledge bases by enriching them with information from existing resources in the Semantic Web.
Outcome: The proposed method validates terms from open encyclopaedic knowledge bases in four languages.

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