Papers by Jorge Gracia
Recent Developments for the Linguistic Linked Open Data Infrastructure (2020.lrec-1)
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Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
| 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. |
Building MUSCLE, a Dataset for MUltilingual Semantic Classification of Links between Entities (2024.lrec-main)
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| Challenge: | In this paper we present a dataset for MUltilingual Lexical Relation Classification (LRC) systems with 27K pairs of universal concepts selected from Wikidata, a large and highly multilingual factual Knowledge Graph (KG). |
| Approach: | They propose a dataset for MUltilingual lexico-semantic Classification of Links between Entities using 27K pairs of universal concepts selected from Wikidata. |
| Outcome: | The proposed dataset bridges lexical and conceptual semantics, avoids linguistic memorization, is domain-balanced across entities, and enables enrichment and hierarchical information retrieval. |
Cross-Lingual Link Discovery for Under-Resourced Languages (2022.lrec-1)
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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
| Challenge: | Linked data paradigms can be used to solve under-resourced languages' problem of under-utilization of resources. |
| Approach: | They propose a paradigm for cross-lingual link discovery that can be applied to under-resourced languages . they argue that techniques for cross language linking can be readily applied . |
| Outcome: | The proposed technologies can be applied to under-resourced languages, the authors argue . the authors show that the Linked Data paradigm can be used to solve the problem . |
MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations (2024.lrec-main)
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Dagmar Gromann, Hugo Goncalo Oliveira, Lucia Pitarch, Elena-Simona Apostol, Jordi Bernad, Eliot Bytyçi, Chiara Cantone, Sara Carvalho, Francesca Frontini, Radovan Garabik, Jorge Gracia, Letizia Granata, Fahad Khan, Timotej Knez, Penny Labropoulou, Chaya Liebeskind, Maria Pia Di Buono, Ana Ostroški Anić, Sigita Rackevičienė, Ricardo Rodrigues, Gilles Sérasset, Linas Selmistraitis, Mahammadou Sidibé, Purificação Silvano, Blerina Spahiu, Enriketa Sogutlu, Ranka Stanković, Ciprian-Octavian Truică, Giedre Valunaite Oleskeviciene, Slavko Zitnik, Katerina Zdravkova
| Challenge: | Prior work has focused on analysing lexical semantic relations in word embeddings or probing pretrained language models (PLMs) with some exceptions. |
| Approach: | They propose to use a multilingual parallel dataset of lexical semantic relations adapted from BATS in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian as an experiment on cross-lingual transfer of relational knowledge. |
| Outcome: | The proposed dataset is adapted from a BATS-based dataset in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian. |
Orchestrating NLP Services for the Legal Domain (2020.lrec-1)
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Julian Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza
| 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. |
No clues good clues: out of context Lexical Relation Classification (2023.acl-long)
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| Challenge: | Pre-trained language models (PTLMs) are used to predict lexical relations between words. |
| Approach: | They propose to use pre-trained language models to fine-tune and exploit verbalized text for linguistically motivated tasks. |
| Outcome: | The proposed model outperforms graded Lexical Entailment and lexical relation classification with very simple prompts. |