Elena Montiel-Ponsoda

ORCID: 0000-0003-3263-3403
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • linguistics and terminology studies
  • Service-Oriented Architecture and Web Services
  • Biomedical Text Mining and Ontologies
  • Artificial Intelligence in Law
  • Topic Modeling
  • Library Science and Information Systems
  • Spanish Linguistics and Language Studies
  • Data Quality and Management
  • Literary and Cultural Studies
  • Law, logistics, and international trade
  • Interpreting and Communication in Healthcare
  • Business Process Modeling and Analysis
  • Language, Metaphor, and Cognition
  • Advanced Database Systems and Queries
  • International Labor and Employment Law
  • Cultural and political discourse analysis
  • European Criminal Justice and Data Protection
  • Digital Economy and Work Transformation
  • Discrimination and Equality Law
  • Translation Studies and Practices
  • Lexicography and Language Studies
  • Wildlife Ecology and Conservation
  • Bat Biology and Ecology Studies

Universidad Politécnica de Madrid
2013-2024

University of Coimbra
2017

Universitat Pompeu Fabra
2016-2017

Thomson Reuters (United States)
2017

Bridge University
2017

University of Cambridge
2017

National Student Clearinghouse Research Center
2016

Universitat Politècnica de Catalunya
2016

Next Interactions (United States)
2016

Hamad bin Khalifa University
2016

Abstract This paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within development process, has been defined as activity adapting an concrete linguistic and cultural community. Depending on layers – terminological and/or conceptual involved in activity, three heterogeneous metamodels have identified, which we propose one them. Our proposal consists associating metamodel external model for representing structuring lexical data...

10.1017/s1351324910000082 article EN Natural Language Engineering 2010-06-09

Legal texts, characterized by complex and specialized terminology, present a significant challenge for Language Models. Adding an underrepresented language, such as Spanish, to the mix makes it even more challenging. While pre-trained models like XLM-RoBERTa have shown capabilities in handling multilingual corpora, their performance on domain specific documents remains underexplored. This paper presents development evaluation of MEL, legal language model based XLM-RoBERTa-large, fine-tuned...

10.48550/arxiv.2501.16011 preprint EN arXiv (Cornell University) 2025-01-27

Legal corpora for Natural Language Processing (NLP) are valuable and scarce resources in languages like Spanish due to two main reasons: data accessibility legal expert knowledge availability. INESData 2024 is a European Union funded project lead by the Universidad Polit\'ecnica de Madrid (UPM) developed Instituto Ingenier\'ia del Conocimiento (IIC) create series of state-of-the-art NLP applied legal/administrative domain Spanish. The goal this paper present Corpus Contract Clauses (3CEL),...

10.48550/arxiv.2501.15990 preprint EN arXiv (Cornell University) 2025-01-27

International organizations (e.g., FAO, WHO, etc.) are increasingly expressing the need for multilingual ontologies different purposes, e.g., ontology-based machine translation, information retrieval. However, most of built so far have mainly English or another natural language as basis. Since ontology building is a very expensive and time-consuming undertaking, we propose methods guiding users in localization ontologies, provide tools supporting process. The main contributions this paper...

10.1145/1597735.1597742 article EN 2009-09-01

We revisit the notion of ontology localization, propose a new definition and clearly specify layers an that can be affected by process localizing it. also work out number dimensions allow to characterize type localization performed predict will affected. Overall our aim is contribute better understanding task ontology.

10.3233/ao-2010-0075 article EN Applied Ontology 2010-01-01

In this article, we argue that there is a growing number of linked datasets in different natural languages, and need for guidelines mechanisms to ensure the quality organic growth emerging multilingual data network. However, have little knowledge regarding actual state network, its current practices, open challenges it poses. Questions distribution links are established across or how linguistic features represented, remain mostly unanswered. Addressing these other language-related issues can...

10.1145/2479787.2479867 article EN 2013-06-11

The EU-funded project Lynx focuses on the creation of a knowledge graph for legal domain (Legal Knowledge Graph, LKG) and its use semantic processing, analysis enrichment documents from domain. This article describes cases covered in project, entire developed platform services that operate documents.

10.1016/j.is.2021.101966 article EN cc-by Information Systems 2021-12-06

Abstract As the interest of Semantic Web and computational linguistics communities in linguistic linked data (LLD) keeps increasing number contributions that dwell on LLD rapidly grows, scholars (and linguists particular) interested development resources sometimes find it difficult to determine which mechanism is suitable for their needs challenges have already been addressed. This review seeks present state art models, ontologies extensions represent language as by focusing nature content...

10.1017/s1351324918000347 article EN Natural Language Engineering 2018-10-04
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