Search Results for author: Jorge Gracia

Found 14 papers, 1 papers with code

Enabling Language Resources to Expose Translations as Linked Data on the Web

no code implementations LREC 2014 Jorge Gracia, Elena Montiel-Ponsoda, Daniel Vila-Suero, Guadalupe Aguado-de-Cea

As a proof of concept, we have extracted the translations of the terms contained in Terminesp, a multilingual terminological database, and represented them as linked data.

Machine Translation Translation

Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries

1 code implementation LREC 2016 Marta Villegas, Maite Melero, N{\'u}ria Bel, Jorge Gracia

The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes{'} degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries.

Translation

The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud

no code implementations LREC 2016 John Philip McCrae, Christian Chiarcos, Francis Bond, Philipp Cimiano, Thierry Declerck, Gerard de Melo, Jorge Gracia, Sebastian Hellmann, Bettina Klimek, Steven Moran, Petya Osenova, Antonio Pareja-Lora, Jonathan Pool

The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.

Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings

no code implementations25 Feb 2020 María G. Buey, Carlos Bobed, Jorge Gracia, Eduardo Mena

In this paper, we propose an approach to keyword disambiguation which grounds on a semantic relatedness between words and senses provided by an external inventory (ontology) that is not known at training time.

Sentence Word Embeddings +1

Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries

no code implementations LREC 2020 Marta Lanau-Coronas, Jorge Gracia

This paper describes the participation of two different approaches in the 3rd Translation Inference Across Dictionaries (TIAD 2020) shared task.

Cross-Lingual Word Embeddings Translation +1

Recent Developments for the Linguistic Linked Open Data Infrastructure

no code implementations LREC 2020 Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saur{\'\i}, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian F{\"a}th, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney

In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.

Cross-Lingual Link Discovery for Under-Resourced Languages

no code implementations LREC 2022 Michael Rosner, Sina Ahmadi, Elena-Simona Apostol, Julia Bosque-Gil, Christian Chiarcos, Milan Dojchinovski, Katerina Gkirtzou, Jorge Gracia, Dagmar Gromann, Chaya Liebeskind, Giedrė Valūnaitė Oleškevičienė, Gilles Sérasset, Ciprian-Octavian Truică

In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages.

TIAD 2022: The Fifth Translation Inference Across Dictionaries Shared Task

no code implementations gwll (LREC) 2022 Jorge Gracia, Besim Kabashi, Ilan Kernerman

The objective of the Translation Inference Across Dictionaries (TIAD) series of shared tasks is to explore and compare methods and techniques that infer translations indirectly between language pairs, based on other bilingual/multilingual lexicographic resources.

Translation

Fuzzy Lemon: Making Lexical Semantic Relations More Juicy

no code implementations LDL (ACL) 2022 Fernando Bobillo, Julia Bosque-Gil, Jorge Gracia, Marta Lanau-Coronas

The OntoLex-Lemon model provides a vocabulary to enrich ontologies with linguistic information that can be exploited by Natural Language Processing applications.

A Survey of Guidelines and Best Practices for the Generation, Interlinking, Publication, and Validation of Linguistic Linked Data

no code implementations LDL (ACL) 2022 Fahad Khan, Christian Chiarcos, Thierry Declerck, Maria Pia di Buono, Milan Dojchinovski, Jorge Gracia, Giedre Valunaite Oleskeviciene, Daniela Gifu

This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data.

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