Javier
Parapar López
Profesor Titular de Universidad
Publicaciones (119) Publicaciones de Javier Parapar López
2024
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Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis
Procesamiento del lenguaje natural, Núm. 73, pp. 69-81
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Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries
CLPsych 2024 - 9th Workshop on Computational Linguistics and Clinical Psychology, Proceedings of the Workshop
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Explainable depression symptom detection in social media
Health Information Science and Systems, Vol. 12, Núm. 1
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Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (Extended Overview)
CEUR Workshop Proceedings
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eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
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BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression
SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods
International Conference on Information and Knowledge Management, Proceedings
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Keyword Embeddings for Query Suggestion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview)
CEUR Workshop Proceedings
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Overview of eRisk 2023: Early Risk Prediction on the Internet
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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PsyProf: A Platform for Assisted Screening of Depression in Social Media
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Relevance feedback for building pooled test collections
Journal of Information Science
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Semantic Similarity Models for Depression Severity Estimation
EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings
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Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict
Social Science Computer Review, Vol. 41, Núm. 5, pp. 1581-1607
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eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022
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A Survey of the First Five Years of eRisk: Findings and Conclusions
Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 31-57
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Automatic depression score estimation with word embedding models
Artificial Intelligence in Medicine, Vol. 132
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Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020's Tensions over Race and Heritage
Journal on Computing and Cultural Heritage
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Early Risk Prediction of Mental Health Disorders
Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 1-6
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Exploring Models for Automatic Keyword Labelling of Scientific Documents
CEUR Workshop Proceedings