NowOnWeb: News Search and Summarization. - Javier Parapar; José M. Casanova; Alvaro Barreiro (EUROCAST, 2007)

NowOnWeb: a NewsIR System. - Javier Parapar; Alvaro Barreiro (Proces. del Leng. Natural, 2007)

The Coruña Corpus Tool. - Javier Parapar; Isabel Moskowich-Spiegel Fandiño (Proces. del Leng. Natural, 2007)

Winnowing-based text clustering. - Javier Parapar; Alvaro Barreiro (CIKM, 2008)

Segmentation of Legislative Documents Using a Domain-Specific Lexicon. - Ismael Hasan; Javier Parapar; Roi Blanco (DEXA Workshops, 2008)

Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints. - Javier Parapar; Alvaro Barreiro (ECIR, 2009)

Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections. - Javier Parapar; Ana Freire; Alvaro Barreiro (ECIR, 2009)

Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. - M. Eduardo Ares; Javier Parapar; Alvaro Barreiro (ICTIR, 2009)

Compression-based document length prior for language models. - Javier Parapar; David E. Losada; Alvaro Barreiro (SIGIR, 2009)

Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms. - M. Eduardo Ares; Javier Parapar; Alvaro Barreiro (DEXA (2), 2010)

An automatic linking service of document images reducing the effects of OCR errors with latent semantics. - Renato Bulcão Neto; José Antonio Camacho Guerrero; Alvaro Barreiro; Javier Parapar; Alessandra A. Macedo (SAC, 2010)

Where to start filtering redundancy?: a cluster-based approach. - Ronald T. Fernández; Javier Parapar; David E. Losada; Alvaro Barreiro (SIGIR, 2010)

Blog snippets: a comments-biased approach. - Javier Parapar; Jorge López-Castro; Alvaro Barreiro (SIGIR, 2010)

University of Lugano at TREC 2010. - Mostafa Keikha; Parvaz Mahdabi; Shima Gerani; Giacomo Inches; Javier Parapar; Mark James Carman; Fabio Crestani (TREC, 2010)

A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters. - Javier Parapar; Alvaro Barreiro (CAEPIA, 2011)

Promoting Divergent Terms in the Estimation of Relevance Models. - Javier Parapar; Alvaro Barreiro (ICTIR, 2011)

Improving Text Clustering with Social Tagging. - M. Eduardo Ares; Javier Parapar; Alvaro Barreiro (ICWSM, 2011)

The Use of Latent Semantic Indexing to Mitigate OCR Effects of Related Document Images. - Renato Bulcão Neto; José Antonio Camacho Guerrero; Márcio Branquinho Dutra; Alvaro Barreiro; Javier Parapar; Alessandra A. Macedo (J. Univers. Comput. Sci., 2011)

A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. - Javier Parapar; David E. Losada; Alvaro Barreiro (CLEF (Online Working Notes/Labs/Workshop), 2012)

Language Modelling of Constraints for Text Clustering. - Javier Parapar; Alvaro Barreiro (ECIR, 2012)

Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. - Alejandro Bellogín; Javier Parapar (RecSys, 2012)

An experimental study of constrained clustering effectiveness in presence of erroneous constraints. - M. Eduardo Ares; Javier Parapar; Alvaro Barreiro (Inf. Process. Manag., 2012)

Improving the Extraction of Text in PDFs by Simulating the Human Reading Order. - Ismael Hasan; Javier Parapar; Alvaro Barreiro (J. Univers. Comput. Sci., 2012)

Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. - José M. Chenlo; Javier Parapar; David E. Losada (CAEPIA, 2013)

Probabilistic collaborative filtering with negative cross entropy. - Alejandro Bellogín; Javier Parapar; Pablo Castells (RecSys, 2013)

Relevance-based language modelling for recommender systems. - Javier Parapar; Alejandro Bellogín; Pablo Castells; Alvaro Barreiro (Inf. Process. Manag., 2013)

Score distributions for Pseudo Relevance Feedback. - Javier Parapar; Manuel A. Presedo Quindimil; Alvaro Barreiro (Inf. Sci., 2014)

Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. - Javier Parapar; David E. Losada; Alvaro Barreiro (J. Univers. Comput. Sci., 2014)

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. - Daniel Valcarce; Javier Parapar; Alvaro Barreiro (ECIR, 2015)

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. - Daniel Valcarce; Javier Parapar; Alvaro Barreiro (RecSys, 2015)

Finding a needle in the blogosphere: An information fusion approach for blog distillation search. - José M. Chenlo; Javier Parapar; David E. Losada; José Santos Reyes (Inf. Fusion, 2015)

Information Retrieval and Recommender Systems. - Fidel Cacheda; Javier Parapar (J. Univers. Comput. Sci., 2015)

A Distributed Recommendation Platform for Big Data. - Daniel Valcarce; Javier Parapar; Alvaro Barreiro (J. Univers. Comput. Sci., 2015)

Injecting Multiple Psychological Features into Standard Text Summarisers. - David E. Losada; Javier Parapar (CERI, 2016)

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (CERI, 2016)

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. - Daniel Valcarce; Javier Parapar; Alvaro Barreiro (ECIR, 2016)

Language Models for Collaborative Filtering Neighbourhoods. - Daniel Valcarce; Javier Parapar; Alvaro Barreiro (ECIR, 2016)

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (IIR, 2016)

Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. - David E. Losada; Javier Parapar; Alvaro Barreiro (SAC, 2016)

Item-based relevance modelling of recommendations for getting rid of long tail products. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (Knowl. Based Syst., 2016)

CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2017)

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2017)

Combining Top-N Recommenders with Metasearch Algorithms. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (SIGIR, 2017)

Psychological Features for Automatic Text Summarization. - David E. Losada; Javier Parapar (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

Axiomatic Analysis of Language Modelling of Recommender Systems. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems. - David E. Losada; Javier Parapar; Alvaro Barreiro (Inf. Process. Manag., 2017)

Cost-effective construction of Information Retrieval test collections. - David E. Losada; Javier Parapar; Alvaro Barreiro (CERI, 2018)

Query Expansion as a Matrix Factorization Problem: Extended Abstract. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (CERI, 2018)

Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2018)

Overview of eRisk: Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2018)

On the robustness and discriminative power of information retrieval metrics for top-N recommendation. - Daniel Valcarce; Alejandro Bellogín; Javier Parapar; Pablo Castells (RecSys, 2018)

LiMe: linear methods for pseudo-relevance feedback. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (SAC, 2018)

A MapReduce implementation of posterior probability clustering and relevance models for recommendation. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (Eng. Appl. Artif. Intell., 2018)

A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation. - David E. Losada; Javier Parapar; Alvaro Barreiro (Inf. Fusion, 2018)

Finding and analysing good neighbourhoods to improve collaborative filtering. - Daniel Valcarce; Javier Parapar; Álvaro Barreiro (Knowl. Based Syst., 2018)

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2019)

Overview of eRisk 2019 Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2019)

PRIN: A Probabilistic Recommender with Item Priors and Neural Models. - Alfonso Landin; Daniel Valcarce; Javier Parapar; Álvaro Barreiro (ECIR (1), 2019)

Early Detection of Risks on the Internet: An Exploratory Campaign. - David E. Losada; Fabio Crestani; Javier Parapar (ECIR (2), 2019)

Collaborative filtering embeddings for memory-based recommender systems. - Daniel Valcarce; Alfonso Landin; Javier Parapar; Álvaro Barreiro (Eng. Appl. Artif. Intell., 2019)

Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping. - Paula Lopez-Otero; Javier Parapar; Alvaro Barreiro (Inf. Process. Manag., 2019)

When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. - David E. Losada; Javier Parapar; Alvaro Barreiro (J. Assoc. Inf. Sci. Technol., 2019)

Beaver: Efficiently Building Test Collections for Novel Tasks. - David Otero 001; Javier Parapar; Álvaro Barreiro (CIRCLE, 2020)

Overview of eRisk 2020: Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2020)

Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2020)

Shallow Neural Models for Top-N Recommendation. - Alfonso Landin; Daniel Valcarce; Javier Parapar; Álvaro Barreiro (ECAI, 2020)

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. - Alfonso Landin; Javier Parapar; Álvaro Barreiro (ECIR (2), 2020)

eRisk 2020: Self-harm and Depression Challenges. - David E. Losada; Fabio Crestani; Javier Parapar (ECIR (2), 2020)

Assessing ranking metrics in top-N recommendation. - Daniel Valcarce; Alejandro Bellogín; Javier Parapar; Pablo Castells (Inf. Retr. J., 2020)

Using score distributions to compare statistical significance tests for information retrieval evaluation. - Javier Parapar; David E. Losada; Manuel A. Presedo Quindimil; Alvaro Barreiro (J. Assoc. Inf. Sci. Technol., 2020)

Statistical language models for query-by-example spoken document retrieval. - Paula Lopez-Otero; Javier Parapar; Alvaro Barreiro (Multim. Tools Appl., 2020)

Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2021)

Overview of eRisk 2021: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2021)

eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (2), 2021)

Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling. - Paloma Piot-Perez-Abadin; Patricia Martín-Rodilla; Javier Parapar (ENASE, 2021)

Gender Classification Models and Feature Impact for Social Media Author Profiling. - Paloma Piot-Perez-Abadin; Patricia Martín-Rodilla; Javier Parapar (ENASE (Selected Papers), 2021)

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. - Javier Parapar; Filip Radlinski (RecSys, 2021)

The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. - David Otero 001; Javier Parapar; Álvaro Barreiro (SAC, 2021)

Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. - Javier Parapar; David E. Losada; Álvaro Barreiro (SAC, 2021)

Diverse User Preference Elicitation with Multi-Armed Bandits. - Javier Parapar; Filip Radlinski (WSDM, 2021)

TemporalWord Embeddings for Early Detection of Signs of Depression. - Manuel Couto; Anxo Pérez; Javier Parapar (CIRCLE, 2022)

Exploring Models for Automatic Keyword Labelling of Scientific Documents. - Jorge Gabín; M. Eduardo Ares; Javier Parapar (CIRCLE, 2022)

Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2022)

Overview of eRisk 2022: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2022)

eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (2), 2022)

Automatic depression score estimation with word embedding models. - Anxo Pérez; Javier Parapar; Álvaro Barreiro (Artif. Intell. Medicine, 2022)

Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020's Tensions Over Race and Heritage. - David Otero 001; Patricia Martín-Rodilla; Javier Parapar (ACM Journal on Computing and Cultural Heritage, 2022)

How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. - David Otero 001; Javier Parapar; Nicola Ferro 001 (CIKM, 2023)

Overview of eRisk 2023: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2023)

Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2023)

Keyword Embeddings for Query Suggestion. - Jorge Gabín; M. Eduardo Ares; Javier Parapar (ECIR (1), 2023)

eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (3), 2023)

PsyProf: A Platform for Assisted Screening of Depression in Social Media. - Anxo Pérez; Paloma Piot-Perez-Abadin; Javier Parapar; Álvaro Barreiro (ECIR (3), 2023)

Semantic Similarity Models for Depression Severity Estimation. - Anxo Pérez; Neha Warikoo; Kexin Wang; Javier Parapar; Iryna Gurevych (EMNLP, 2023)

BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. - Anxo Pérez; Javier Parapar; Álvaro Barreiro; Silvia Lopez-Larrosa (SIGIR, 2023)

DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers. - Anxo Pérez; Marcos Fernández-Pichel; Javier Parapar; David E. Losada (CoRR, 2023)

Conversations in Galician: a Large Language Model for an Underrepresented Language. - Eliseo Bao; Anxo Pérez; Javier Parapar (CoRR, 2023)

Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2024)

Overview of eRisk 2024: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (2), 2024)

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (5), 2024)

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. - Paloma Piot; Patricia Martín-Rodilla; Javier Parapar (ICWSM, 2024)

Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering. - Jorge Gabín; M. Eduardo Ares; Javier Parapar (CoRR, 2024)

On the Statistical Significance with Relevance Assessments of Large Language Models. - David Otero 001; Javier Parapar; Álvaro Barreiro (CoRR, 2024)

Beyond Questions: Leveraging ColBERT for Keyphrase Search. - Jorge Gabín; Javier Parapar; Craig Macdonald (CoRR, 2024)

Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis. - Manuel Couto; Javier Parapar; David E. Losada (Proces. del Leng. Natural, 2024)

Explainable depression symptom detection in social media. - Eliseo Bao; Anxo Pérez; Javier Parapar (Health Inf. Sci. Syst., 2024)

Overview of eRisk 2025: Early Risk Prediction on the Internet. - Javier Parapar; Anxo Pérez; Xi Wang 012; Fabio Crestani (CLEF, 2025)

Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data. - Martial Pastor; Nelleke Oostdijk; Patricia Martín-Rodilla; Javier Parapar (COLING, 2025)

MindWell: A Conversational Agent for Professional Depression Screening on Social Media. - Eliseo Bao; Anxo Pérez; Javier Parapar (ECIR (5), 2025)

Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion. - Jorge Gabín; Javier Parapar (ECIR (2), 2025)

Towards Reliable Testing for Multiple Information Retrieval System Comparisons. - David Otero 001; Javier Parapar; Álvaro Barreiro (ECIR (2), 2025)

eRisk 2025: Contextual and Conversational Approaches for Depression Challenges. - Javier Parapar; Anxo Pérez; Xi Wang 012; Fabio Crestani (ECIR (5), 2025)

Towards Efficient and Explainable Hate Speech Detection via Model Distillation. - Paloma Piot; Javier Parapar (ECIR (2), 2025)

Decoding Hate: Exploring Language Models' Reactions to Hate Speech. - Paloma Piot; Javier Parapar (NAACL (Long Papers), 2025)

Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. - David Otero 001; Javier Parapar; Álvaro Barreiro (SIGIR, 2025)

Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models. - Paloma Piot; Patricia Martín-Rodilla; Javier Parapar (CoRR, 2025)

ReDSM5: A Reddit Dataset for DSM-5 Depression Detection. - Eliseo Bao; Anxo Pérez; Javier Parapar (CoRR, 2025)

TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening. - Xi Wang 012; Anxo Pérez; Javier Parapar; Fabio Crestani (CoRR, 2025)

DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers. - Anxo Pérez; Marcos Fernández-Pichel; Javier Parapar; David E. Losada (Lang. Resour. Evaluation, 2025)