Publicaciones (121) Publicaciones de Javier Parapar López

2024

  1. 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

  2. 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

  3. Explainable depression symptom detection in social media

    Health Information Science and Systems, Vol. 12, Núm. 1

  4. Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (Extended Overview)

    CEUR Workshop Proceedings

  5. Overview of eRisk 2024: Early Risk Prediction on the Internet

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. 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

  1. 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

  2. How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods

    International Conference on Information and Knowledge Management, Proceedings

  3. Keyword Embeddings for Query Suggestion

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview)

    CEUR Workshop Proceedings

  5. 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)

  6. 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)

  7. Relevance feedback for building pooled test collections

    Journal of Information Science

  8. Semantic Similarity Models for Depression Severity Estimation

    EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings

  9. Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

    Social Science Computer Review, Vol. 41, Núm. 5, pp. 1581-1607

  10. 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

  1. 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

  2. Automatic depression score estimation with word embedding models

    Artificial Intelligence in Medicine, Vol. 132

  3. 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

  4. Early Risk Prediction of Mental Health Disorders

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 1-6