| 2026 | EACL | PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media. | Michele Joshua Maggini, Paloma Piot, Anxo Prez, Erik Bran Marino, La Santamara Montesinos, Ana Lisboa Cotovio, Marta Vzquez Abun, Javier Parapar, Pablo Gamallo |
| 2026 | ECIR | LLM-Assisted Pseudo-Relevance Feedback. | David Otero, Javier Parapar |
| 2026 | ECIR | eRisk 2026: Tasks on Symptoms Ranking, Contextual and Conversational Approaches for Early Mental Health Detection. | Anxo Prez, Javier Parapar, Xi Wang, Fabio Crestani |
| 2026 | LREC | Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection. | Paloma Piot, David Otero, Patricia Martn-Rodilla, Javier Parapar |
| 2026 | SIGIR | Learning Evidence of Depression Symptoms via Prompt Induction. | Eliseo Bao, Anxo Prez, David Otero, Javier Parapar |
| 2026 | SIGIR | Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG. | Jorge Gabn, Anxo Prez, Javier Parapar |
| 2026 | SIGIR | Beyond Top-e: Simulation-Based Interactive Evaluation for Query Suggestions. | Jorge Gabn, Javier Parapar, Xi Wang |
| 2026 | SIGIR | Hybrid Pooling with LLMs via Relevance Context Learning. | David Otero, Javier Parapar |
| 2025 | CIKM | TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening. | Xi Wang, Anxo Prez, Javier Parapar, Fabio Crestani |
| 2025 | CIKM | ReDSM5: A Reddit Dataset for DSM-5 Depression Detection. | Eliseo Bao, Anxo Prez, Javier Parapar |
| 2025 | COLING | Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data. | Martial Pastor, Nelleke Oostdijk, Patricia Martn-Rodilla, Javier Parapar |
| 2025 | ECIR | MindWell: A Conversational Agent for Professional Depression Screening on Social Media. | Eliseo Bao, Anxo Prez, Javier Parapar |
| 2025 | ECIR | Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion. | Jorge Gabn, Javier Parapar |
| 2025 | ECIR | Towards Reliable Testing for Multiple Information Retrieval System Comparisons. | David Otero, Javier Parapar, lvaro Barreiro |
| 2025 | ECIR | eRisk 2025: Contextual and Conversational Approaches for Depression Challenges. | Javier Parapar, Anxo Prez, Xi Wang, Fabio Crestani |
| 2025 | ECIR | Towards Efficient and Explainable Hate Speech Detection via Model Distillation. | Paloma Piot, Javier Parapar |
| 2025 | NAACL | Decoding Hate: Exploring Language Models' Reactions to Hate Speech. | Paloma Piot, Javier Parapar |
| 2025 | SIGIR | Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. | David Otero, Javier Parapar, lvaro Barreiro |
| 2024 | ECIR | eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. | Javier Parapar, Patricia Martn-Rodilla, David E. Losada, Fabio Crestani |
| 2024 | ICWSM | MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. | Paloma Piot, Patricia Martn-Rodilla, Javier Parapar |
| 2023 | CIKM | How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. | David Otero, Javier Parapar, Nicola Ferro |
| 2023 | ECIR | Keyword Embeddings for Query Suggestion. | Jorge Gabn, M. Eduardo Ares, Javier Parapar |
| 2023 | ECIR | eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. | Javier Parapar, Patricia Martn-Rodilla, David E. Losada, Fabio Crestani |
| 2023 | ECIR | PsyProf: A Platform for Assisted Screening of Depression in Social Media. | Anxo Prez, Paloma Piot-Perez-Abadin, Javier Parapar, lvaro Barreiro |
| 2023 | EMNLP | Semantic Similarity Models for Depression Severity Estimation. | Anxo Prez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych |
| 2023 | SIGIR | BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. | Anxo Prez, Javier Parapar, lvaro Barreiro, Silvia Lopez-Larrosa |
| 2022 | ECIR | eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. | Javier Parapar, Patricia Martn-Rodilla, David E. Losada, Fabio Crestani |
| 2021 | ECIR | eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. | Javier Parapar, Patricia Martn-Rodilla, David E. Losada, Fabio Crestani |
| 2021 | ENASE | Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling. | Paloma Piot-Perez-Abadin, Patricia Martn-Rodilla, Javier Parapar |
| 2021 | ENASE | Gender Classification Models and Feature Impact for Social Media Author Profiling. | Paloma Piot-Perez-Abadin, Patricia Martn-Rodilla, Javier Parapar |
| 2021 | RecSys | Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. | Javier Parapar, Filip Radlinski |
| 2021 | SAC | The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. | David Otero, Javier Parapar, lvaro Barreiro |
| 2021 | SAC | Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. | Javier Parapar, David E. Losada, lvaro Barreiro |
| 2021 | WSDM | Diverse User Preference Elicitation with Multi-Armed Bandits. | Javier Parapar, Filip Radlinski |
| 2020 | ECAI | Shallow Neural Models for Top-N Recommendation. | Alfonso Landin, Daniel Valcarce, Javier Parapar, lvaro Barreiro |
| 2020 | ECIR | Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. | Alfonso Landin, Javier Parapar, lvaro Barreiro |
| 2020 | ECIR | eRisk 2020: Self-harm and Depression Challenges. | David E. Losada, Fabio Crestani, Javier Parapar |
| 2019 | ECIR | PRIN: A Probabilistic Recommender with Item Priors and Neural Models. | Alfonso Landin, Daniel Valcarce, Javier Parapar, lvaro Barreiro |
| 2019 | ECIR | Early Detection of Risks on the Internet: An Exploratory Campaign. | David E. Losada, Fabio Crestani, Javier Parapar |
| 2018 | RecSys | On the robustness and discriminative power of information retrieval metrics for top-N recommendation. | Daniel Valcarce, Alejandro Bellogn, Javier Parapar, Pablo Castells |
| 2018 | SAC | LiMe: linear methods for pseudo-relevance feedback. | Daniel Valcarce, Javier Parapar, lvaro Barreiro |
| 2017 | SIGIR | Combining Top-N Recommenders with Metasearch Algorithms. | Daniel Valcarce, Javier Parapar, lvaro Barreiro |
| 2016 | ECIR | Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. | Daniel Valcarce, Javier Parapar, Alvaro Barreiro |
| 2016 | ECIR | Language Models for Collaborative Filtering Neighbourhoods. | Daniel Valcarce, Javier Parapar, Alvaro Barreiro |
| 2016 | SAC | Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. | David E. Losada, Javier Parapar, Alvaro Barreiro |
| 2015 | ECIR | A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. | Daniel Valcarce, Javier Parapar, Alvaro Barreiro |
| 2015 | RecSys | A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. | Daniel Valcarce, Javier Parapar, Alvaro Barreiro |
| 2013 | RecSys | Probabilistic collaborative filtering with negative cross entropy. | Alejandro Bellogn, Javier Parapar, Pablo Castells |
| 2012 | ECIR | Language Modelling of Constraints for Text Clustering. | Javier Parapar, Alvaro Barreiro |
| 2012 | RecSys | Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. | Alejandro Bellogn, Javier Parapar |
| 2011 | ICTIR | Promoting Divergent Terms in the Estimation of Relevance Models. | Javier Parapar, Alvaro Barreiro |
| 2011 | ICWSM | Improving Text Clustering with Social Tagging. | M. Eduardo Ares, Javier Parapar, Alvaro Barreiro |
| 2010 | DEXA | Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms. | M. Eduardo Ares, Javier Parapar, Alvaro Barreiro |
| 2010 | SAC | An automatic linking service of document images reducing the effects of OCR errors with latent semantics. | Renato Bulco Neto, Jos Antonio Camacho Guerrero, Alvaro Barreiro, Javier Parapar, Alessandra A. Macedo |
| 2010 | SIGIR | Where to start filtering redundancy?: a cluster-based approach. | Ronald T. Fernndez, Javier Parapar, David E. Losada, Alvaro Barreiro |
| 2010 | SIGIR | Blog snippets: a comments-biased approach. | Javier Parapar, Jorge Lpez-Castro, Alvaro Barreiro |
| 2009 | ECIR | Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints. | Javier Parapar, Alvaro Barreiro |
| 2009 | ECIR | Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections. | Javier Parapar, Ana Freire, Alvaro Barreiro |
| 2009 | ICTIR | Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. | M. Eduardo Ares, Javier Parapar, Alvaro Barreiro |
| 2009 | SIGIR | Compression-based document length prior for language models. | Javier Parapar, David E. Losada, Alvaro Barreiro |
| 2008 | CIKM | Winnowing-based text clustering. | Javier Parapar, Alvaro Barreiro |