Article published In:
Pattern-based Approaches to Semantic Relation Extraction
Edited by Alain Auger and Caroline Barrière
[Terminology 14:1] 2008
► pp. 7498
Cited by (19)

Cited by 19 other publications

Chambó, Santiago & Pilar León Araúz
2023. Corpus-driven conceptual analysis of epidemic and coronavirus for the Humanitarian Encyclopedia. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 29:2  pp. 180 ff. DOI logo
Barbero, Chiara
2022. CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 13208],  pp. 376 ff. DOI logo
Gallego-Hernández, Daniel
2022. Extracción de fraseología especializada basada en corpus. Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics 35:1  pp. 294 ff. DOI logo
Su, Peng & K. Vijay-Shanker
2022. Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction. BMC Bioinformatics 23:1 DOI logo
Acosta, Olga & César Aguilar
2021. Designing a Concept-Mining Model for the Extraction of Medical Information in Spanish. In Encyclopedia of Information Science and Technology, Fifth Edition [Advances in Information Quality and Management, ],  pp. 856 ff. DOI logo
Condamines, Anne
2017. Chapter 1. The emotional dimension in terminological variation. In Multiple Perspectives on Terminological Variation [Terminology and Lexicography Research and Practice, 18],  pp. 11 ff. DOI logo
Faber, Pamela & Pilar León-Araúz
2016. Specialized Knowledge Representation and the Parameterization of Context. Frontiers in Psychology 7 DOI logo
Pimentel, Alejandro, Gerardo Sierra & Claudio Molina
2016. 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI),  pp. 28 ff. DOI logo
Acosta, Olga, Gerardo Sierra & César Aguilar
2015. Extracting Definitional Contexts in Spanish Through the Identification of Hyponymy-Hyperonymy Relations. In Modern Computational Models of Semantic Discovery in Natural Language [Advances in Linguistics and Communication Studies, ],  pp. 48 ff. DOI logo
GARCIA, MARCOS & PABLO GAMALLO
2015. Exploring the effectiveness of linguistic knowledge for biographical relation extraction. Natural Language Engineering 21:4  pp. 519 ff. DOI logo
Sambre, Paul & Cornelia Wermuth
2015. Associative relations and instrumentality in causality. In Handbook of Terminology [Handbook of Terminology, 1],  pp. 101 ff. DOI logo
DEL GAUDIO, ROSA, GUSTAVO BATISTA & ANTÓNIO BRANCO
2014. Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting. Natural Language Engineering 20:3  pp. 327 ff. DOI logo
Montiel-Ponsoda, Elena & Guadalupe Aguado-de-Cea
2014. Applying the lexical constructional model to ontology building. In Language Processing and Grammars [Studies in Language Companion Series, 150],  pp. 313 ff. DOI logo
Schumann, Anne-Kathrin
2014. Hunting for a linguistic phantom. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 20:2  pp. 198 ff. DOI logo
Valero Doménech, Esperanza & Amparo Alcina Caudet
2010. EXPLORACIÓN DE CARACTERÍSTICAS CONCEPTUALES EN CONTEXTOS RICOS EN CONOCIMIENTO MEDIANTE UN PROGRAMA DE ANÁLISIS CUALITATIVO. Revista de Lingüística y Lenguas Aplicadas 5:1 DOI logo
Acosta, Olga
2009. Automatic Extraction of Lexical Relations from Analytical Definitions Using a Constraint Grammar. In Advances in Artificial Intelligence [Lecture Notes in Computer Science, 5549],  pp. 262 ff. DOI logo
Alarcón, Rodrigo, Gerardo Sierra & Carme Bach
2009. ECODE: A Definition Extraction System. In Human Language Technology. Challenges of the Information Society [Lecture Notes in Computer Science, 5603],  pp. 382 ff. DOI logo
Sierra, Gerardo, Rodrigo Alarcon, Alejandro Molina & Edwin Aldana
2009. 2009 Latin American Web Congress,  pp. 217 ff. DOI logo

This list is based on CrossRef data as of 27 september 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.