Javier Parapar

147 papers A* 7A 19B 2Misc 7Journal 59Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond questions: Leveraging ColBERT for keyphrase search. Inf. Process. Manag. Jorge Gabín, Javier Parapar, Craig Macdonald
2026	J	`jnl`	Eval4Sim: An Evaluation Framework for Persona Simulation. CoRR Eliseo Bao, Anxo Pérez, Xi Wang, Javier Parapar
2026	J	`jnl`	Hybrid Pooling with LLMs via Relevance Context Learning. CoRR David Otero, Javier Parapar
2026	—	`conf`	LLM-Assisted Pseudo-Relevance Feedback. ECIR (2) David Otero, Javier Parapar
2026	J	`jnl`	LLM-Assisted Pseudo-Relevance Feedback. CoRR David Otero, Javier Parapar
2026	J	`jnl`	LabChain: Enabling reproducible and modular scientific experiments in Python. SoftwareX Manuel Couto, Javier Parapar, David E. Losada
2026	—	`conf`	PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media. EACL (Volume 1: Long Papers) Michele Joshua Maggini, Paloma Piot, Anxo Pérez, Erik Bran Marino, Lúa Santamaría Montesinos, Ana Lisboa Cotovio, Marta Vázquez Abuín, Javier Parapar, Pablo Gamallo
2026	J	`jnl`	PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media. CoRR Michele Joshua Maggini, Paloma Piot, Anxo Pérez, Erik Bran Marino, Lúa Santamaría Montesinos, Ana Lisboa, Marta Vázquez Abuín, Javier Parapar, Pablo Gamallo
2026	—	`conf`	eRisk 2026: Tasks on Symptoms Ranking, Contextual and Conversational Approaches for Early Mental Health Detection. ECIR (4) Anxo Pérez, Javier Parapar, Xi Wang, Fabio Crestani
2025	J	`jnl`	Bridging Gaps in Hate Speech Detection: Meta-Collections and Benchmarks for Low-Resource Iberian Languages. CoRR Paloma Piot, José Ramom Pichel Campos, Javier Parapar
2025	J	`jnl`	Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection. CoRR Paloma Piot, David Otero, Patricia Martín-Rodilla, Javier Parapar
2025	—	`conf`	Decoding Hate: Exploring Language Models' Reactions to Hate Speech. NAACL (Long Papers) Paloma Piot, Javier Parapar
2025	J	`jnl`	DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers. Lang. Resour. Evaluation Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
2025	B	`conf`	Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data. COLING Martial Pastor, Nelleke Oostdijk, Patricia Martín-Rodilla, Javier Parapar
2025	J	`jnl`	How does depression talk on social media? Modeling depression language with relevance-based statistical language models. Online Soc. Networks Media Eliseo Bao, Anxo Pérez, David Otero, Javier Parapar
2025	—	`conf`	Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion. ECIR (2) Jorge Gabín, Javier Parapar
2025	A*	`conf`	Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. SIGIR David Otero, Javier Parapar, Álvaro Barreiro
2025	—	`conf`	MindWell: A Conversational Agent for Professional Depression Screening on Social Media. ECIR (5) Eliseo Bao, Anxo Pérez, Javier Parapar
2025	—	`conf`	Overview of eRisk 2025: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) Javier Parapar, Anxo Pérez, Xi Wang, Fabio Crestani
2025	—	`conf`	Overview of eRisk 2025: Early Risk Prediction on the Internet. CLEF Javier Parapar, Anxo Pérez, Xi Wang, Fabio Crestani
2025	J	`jnl`	Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models. CoRR Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
2025	A	`conf`	ReDSM5: A Reddit Dataset for DSM-5 Depression Detection. CIKM Eliseo Bao, Anxo Pérez, Javier Parapar
2025	J	`jnl`	ReDSM5: A Reddit Dataset for DSM-5 Depression Detection. CoRR Eliseo Bao, Anxo Pérez, Javier Parapar
2025	J	`jnl`	Relevance feedback for building pooled test collections. J. Inf. Sci. David Otero, Javier Parapar, Álvaro Barreiro
2025	A	`conf`	TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening. CIKM Xi Wang, Anxo Pérez, Javier Parapar, Fabio Crestani
2025	J	`jnl`	TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening. CoRR Xi Wang, Anxo Pérez, Javier Parapar, Fabio Crestani
2025	—	`conf`	Towards Efficient and Explainable Hate Speech Detection via Model Distillation. ECIR (2) Paloma Piot, Javier Parapar
2025	—	`conf`	Towards Reliable Testing for Multiple Information Retrieval System Comparisons. ECIR (2) David Otero, Javier Parapar, Álvaro Barreiro
2025	J	`jnl`	Towards Reliable Testing for Multiple Information Retrieval System Comparisons. CoRR David Otero, Javier Parapar, Álvaro Barreiro
2025	J	`jnl`	WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data. CoRR Paloma Piot, Diego Sánchez, Javier Parapar
2025	J	`jnl`	WATCHED: A Web AI Agent Tool for Combating Hate speech by Expanding Data. SoftwareX Paloma Piot, Diego Sánchez, Javier Parapar
2025	J	`jnl`	Who Is the Story About? Protagonist Entity Recognition in News. CoRR Jorge Gabín, M. Eduardo Ares, Javier Parapar
2025	—	`conf`	eRisk 2025: Contextual and Conversational Approaches for Depression Challenges. ECIR (5) Javier Parapar, Anxo Pérez, Xi Wang, Fabio Crestani
2024	J	`jnl`	Beyond Questions: Leveraging ColBERT for Keyphrase Search. CoRR Jorge Gabín, Javier Parapar, Craig Macdonald
2024	J	`jnl`	Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis. Proces. del Leng. Natural Manuel Couto, Javier Parapar, David E. Losada
2024	J	`jnl`	Decoding Hate: Exploring Language Models' Reactions to Hate Speech. CoRR Paloma Piot, Javier Parapar
2024	J	`jnl`	Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering. CoRR Jorge Gabín, M. Eduardo Ares, Javier Parapar
2024	J	`jnl`	Explainable depression symptom detection in social media. Health Inf. Sci. Syst. Eliseo Bao, Anxo Pérez, Javier Parapar
2024	A	`conf`	MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. ICWSM Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
2024	J	`jnl`	MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. CoRR Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
2024	J	`jnl`	On the Statistical Significance with Relevance Assessments of Large Language Models. CoRR David Otero, Javier Parapar, Álvaro Barreiro
2024	—	`conf`	Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2024	—	`conf`	Overview of eRisk 2024: Early Risk Prediction on the Internet. CLEF (2) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2024	J	`jnl`	Towards Efficient and Explainable Hate Speech Detection via Model Distillation. CoRR Paloma Piot, Javier Parapar
2024	—	`conf`	eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. ECIR (5) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2023	A*	`conf`	BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. SIGIR Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa
2023	J	`jnl`	Conversations in Galician: a Large Language Model for an Underrepresented Language. CoRR Eliseo Bao, Anxo Pérez, Javier Parapar
2023	J	`jnl`	DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers. CoRR Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
2023	J	`jnl`	Explainable Depression Symptom Detection in Social Media. CoRR Eliseo Bao Souto, Anxo Pérez, Javier Parapar
2023	A	`conf`	How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CIKM David Otero, Javier Parapar, Nicola Ferro
2023	J	`jnl`	How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CoRR David Otero, Javier Parapar, Nicola Ferro
2023	—	`conf`	Keyword Embeddings for Query Suggestion. ECIR (1) Jorge Gabín, M. Eduardo Ares, Javier Parapar
2023	J	`jnl`	Keyword Embeddings for Query Suggestion. CoRR Jorge Gabín, M. Eduardo Ares, Javier Parapar
2023	—	`conf`	Overview of eRisk 2023: Early Risk Prediction on the Internet. CLEF Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2023	—	`conf`	Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2023	—	`conf`	PsyProf: A Platform for Assisted Screening of Depression in Social Media. ECIR (3) Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro
2023	A*	`conf`	Semantic Similarity Models for Depression Severity Estimation. EMNLP Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych
2023	—	`conf`	eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. ECIR (3) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2022	J	`jnl`	Automatic depression score estimation with word embedding models. Artif. Intell. Medicine Anxo Pérez, Javier Parapar, Álvaro Barreiro
2022	J	`jnl`	Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020's Tensions Over Race and Heritage. ACM Journal on Computing and Cultural Heritage David Otero, Patricia Martín-Rodilla, Javier Parapar
2022	—	`conf`	Exploring Models for Automatic Keyword Labelling of Scientific Documents. CIRCLE Jorge Gabín, M. Eduardo Ares, Javier Parapar
2022	—	`conf`	Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2022	—	`conf`	Overview of eRisk 2022: Early Risk Prediction on the Internet. CLEF Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2022	J	`jnl`	Semantic Similarity Models for Depression Severity Estimation. CoRR Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych
2022	—	`conf`	TemporalWord Embeddings for Early Detection of Signs of Depression. CIRCLE Manuel Couto, Anxo Pérez, Javier Parapar
2022	—	`conf`	eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. ECIR (2) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2021	A	`conf`	Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM Javier Parapar, Filip Radlinski
2021	B	`conf`	Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling. ENASE Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
2021	—	`conf`	Gender Classification Models and Feature Impact for Social Media Author Profiling. ENASE (Selected Papers) Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
2021	—	`conf`	Overview of eRisk 2021: Early Risk Prediction on the Internet. CLEF Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2021	—	`conf`	Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2021	Misc	`conf`	Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC Javier Parapar, David E. Losada, Álvaro Barreiro
2021	Misc	`conf`	The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. SAC David Otero, Javier Parapar, Álvaro Barreiro
2021	A	`conf`	Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys Javier Parapar, Filip Radlinski
2021	—	`conf`	eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. ECIR (2) Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
2020	J	`jnl`	Assessing ranking metrics in top-N recommendation. Inf. Retr. J. Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
2020	—	`conf`	Beaver: Efficiently Building Test Collections for Novel Tasks. CIRCLE David Otero, Javier Parapar, Álvaro Barreiro
2020	—	`conf`	Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. ECIR (2) Alfonso Landin, Javier Parapar, Álvaro Barreiro
2020	—	`conf`	Overview of eRisk 2020: Early Risk Prediction on the Internet. CLEF David E. Losada, Fabio Crestani, Javier Parapar
2020	—	`conf`	Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) David E. Losada, Fabio Crestani, Javier Parapar
2020	A	`conf`	Shallow Neural Models for Top-N Recommendation. ECAI Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2020	J	`jnl`	Statistical language models for query-by-example spoken document retrieval. Multim. Tools Appl. Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro
2020	J	`jnl`	Using score distributions to compare statistical significance tests for information retrieval evaluation. J. Assoc. Inf. Sci. Technol. Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
2020	—	`conf`	eRisk 2020: Self-harm and Depression Challenges. ECIR (2) David E. Losada, Fabio Crestani, Javier Parapar
2019	J	`jnl`	Collaborative filtering embeddings for memory-based recommender systems. Eng. Appl. Artif. Intell. Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro
2019	—	`conf`	Early Detection of Risks on the Internet: An Exploratory Campaign. ECIR (2) David E. Losada, Fabio Crestani, Javier Parapar
2019	J	`jnl`	Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping. Inf. Process. Manag. Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro
2019	—	`conf`	Overview of eRisk 2019 Early Risk Prediction on the Internet. CLEF David E. Losada, Fabio Crestani, Javier Parapar
2019	—	`conf`	Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). CLEF (Working Notes) David E. Losada, Fabio Crestani, Javier Parapar
2019	—	`conf`	PRIN: A Probabilistic Recommender with Item Priors and Neural Models. ECIR (1) Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2019	J	`jnl`	Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. CoRR Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
2019	J	`jnl`	When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. J. Assoc. Inf. Sci. Technol. David E. Losada, Javier Parapar, Alvaro Barreiro
2018	J	`jnl`	A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Eng. Appl. Artif. Intell. Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018	J	`jnl`	A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation. Inf. Fusion David E. Losada, Javier Parapar, Alvaro Barreiro
2018	—	`conf`	Cost-effective construction of Information Retrieval test collections. CERI David E. Losada, Javier Parapar, Alvaro Barreiro
2018	J	`jnl`	Finding and analysing good neighbourhoods to improve collaborative filtering. Knowl. Based Syst. Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018	Misc	`conf`	LiMe: linear methods for pseudo-relevance feedback. SAC Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018	A	`conf`	On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
2018	—	`conf`	Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). CLEF (Working Notes) David E. Losada, Fabio Crestani, Javier Parapar
2018	—	`conf`	Overview of eRisk: Early Risk Prediction on the Internet. CLEF David E. Losada, Fabio Crestani, Javier Parapar
2018	—	`conf`	Query Expansion as a Matrix Factorization Problem: Extended Abstract. CERI Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2017	J	`jnl`	Axiomatic Analysis of Language Modelling of Recommender Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2017	—	`conf`	CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. CLEF (Working Notes) David E. Losada, Fabio Crestani, Javier Parapar
2017	A*	`conf`	Combining Top-N Recommenders with Metasearch Algorithms. SIGIR Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2017	J	`jnl`	Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems. Inf. Process. Manag. David E. Losada, Javier Parapar, Alvaro Barreiro
2017	J	`jnl`	Psychological Features for Automatic Text Summarization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. David E. Losada, Javier Parapar
2017	—	`conf`	eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. CLEF David E. Losada, Fabio Crestani, Javier Parapar
2016	—	`conf`	Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. CERI Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016	—	`conf`	Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. IIR Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016	A	`conf`	Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. ECIR Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2016	Misc	`conf`	Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. SAC David E. Losada, Javier Parapar, Alvaro Barreiro
2016	—	`conf`	Injecting Multiple Psychological Features into Standard Text Summarisers. CERI David E. Losada, Javier Parapar
2016	J	`jnl`	Item-based relevance modelling of recommendations for getting rid of long tail products. Knowl. Based Syst. Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016	A	`conf`	Language Models for Collaborative Filtering Neighbourhoods. ECIR Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015	J	`jnl`	A Distributed Recommendation Platform for Big Data. J. Univers. Comput. Sci. Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015	A	`conf`	A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. RecSys Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015	A	`conf`	A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. ECIR Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015	J	`jnl`	Finding a needle in the blogosphere: An information fusion approach for blog distillation search. Inf. Fusion José M. Chenlo, Javier Parapar, David E. Losada, José Santos Reyes
2015	J	`jnl`	Information Retrieval and Recommender Systems. J. Univers. Comput. Sci. Fidel Cacheda, Javier Parapar
2014	J	`jnl`	Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. J. Univers. Comput. Sci. Javier Parapar, David E. Losada, Alvaro Barreiro
2014	J	`jnl`	Score distributions for Pseudo Relevance Feedback. Inf. Sci. Javier Parapar, Manuel A. Presedo Quindimil, Alvaro Barreiro
2013	—	`conf`	Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. CAEPIA José M. Chenlo, Javier Parapar, David E. Losada
2013	A	`conf`	Probabilistic collaborative filtering with negative cross entropy. RecSys Alejandro Bellogín, Javier Parapar, Pablo Castells
2013	J	`jnl`	Relevance-based language modelling for recommender systems. Inf. Process. Manag. Javier Parapar, Alejandro Bellogín, Pablo Castells, Alvaro Barreiro
2012	—	`conf`	A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. CLEF (Online Working Notes/Labs/Workshop) Javier Parapar, David E. Losada, Alvaro Barreiro
2012	J	`jnl`	An experimental study of constrained clustering effectiveness in presence of erroneous constraints. Inf. Process. Manag. M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
2012	J	`jnl`	Improving the Extraction of Text in PDFs by Simulating the Human Reading Order. J. Univers. Comput. Sci. Ismael Hasan, Javier Parapar, Alvaro Barreiro
2012	A	`conf`	Language Modelling of Constraints for Text Clustering. ECIR Javier Parapar, Alvaro Barreiro
2012	A	`conf`	Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. RecSys Alejandro Bellogín, Javier Parapar
2011	—	`conf`	A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters. CAEPIA Javier Parapar, Alvaro Barreiro
2011	A	`conf`	Improving Text Clustering with Social Tagging. ICWSM M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
2011	Misc	`conf`	Promoting Divergent Terms in the Estimation of Relevance Models. ICTIR Javier Parapar, Alvaro Barreiro
2011	J	`jnl`	The Use of Latent Semantic Indexing to Mitigate OCR Effects of Related Document Images. J. Univers. Comput. Sci. Renato Bulcão Neto, José Antonio Camacho Guerrero, Márcio Branquinho Dutra, Alvaro Barreiro, Javier Parapar, Alessandra A. Macedo
2010	Misc	`conf`	An automatic linking service of document images reducing the effects of OCR errors with latent semantics. SAC Renato Bulcão Neto, José Antonio Camacho Guerrero, Alvaro Barreiro, Javier Parapar, Alessandra A. Macedo
2010	A*	`conf`	Blog snippets: a comments-biased approach. SIGIR Javier Parapar, Jorge López-Castro, Alvaro Barreiro
2010	—	`conf`	Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms. DEXA (2) M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
2010	—	`conf`	University of Lugano at TREC 2010. TREC Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani
2010	A*	`conf`	Where to start filtering redundancy?: a cluster-based approach. SIGIR Ronald T. Fernández, Javier Parapar, David E. Losada, Alvaro Barreiro
2009	Misc	`conf`	Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. ICTIR M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
2009	A*	`conf`	Compression-based document length prior for language models. SIGIR Javier Parapar, David E. Losada, Alvaro Barreiro
2009	A	`conf`	Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints. ECIR Javier Parapar, Alvaro Barreiro
2009	A	`conf`	Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections. ECIR Javier Parapar, Ana Freire, Alvaro Barreiro
2008	—	`conf`	Segmentation of Legislative Documents Using a Domain-Specific Lexicon. DEXA Workshops Ismael Hasan, Javier Parapar, Roi Blanco
2008	A	`conf`	Winnowing-based text clustering. CIKM Javier Parapar, Alvaro Barreiro
2007	—	`conf`	NowOnWeb: News Search and Summarization. EUROCAST Javier Parapar, José M. Casanova, Alvaro Barreiro
2007	J	`jnl`	NowOnWeb: a NewsIR System. Proces. del Leng. Natural Javier Parapar, Alvaro Barreiro
2007	J	`jnl`	The Coruña Corpus Tool. Proces. del Leng. Natural Javier Parapar, Isabel Moskowich-Spiegel Fandiño