Javier Parapar

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 73

Top Venues

Publications

Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. ECIR (5) (2024)
Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. CoRR (2024)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2024)
Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. ICWSM (2024)
Jorge Gabín, M. Eduardo Ares, Javier Parapar
Keyword Embeddings for Query Suggestion. ECIR (1) (2023)
Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. SIGIR (2023)
Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych
Semantic Similarity Models for Depression Severity Estimation. EMNLP (2023)
David Otero, Javier Parapar, Nicola Ferro
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CIKM (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2023)
Eliseo Bao Souto, Anxo Pérez, Javier Parapar
Explainable Depression Symptom Detection in Social Media. CoRR (2023)
Jorge Gabín, M. Eduardo Ares, Javier Parapar
Keyword Embeddings for Query Suggestion. CoRR (2023)
David Otero, Javier Parapar, Nicola Ferro
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CoRR (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2023: Early Risk Prediction on the Internet. CLEF (2023)
Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro
PsyProf: A Platform for Assisted Screening of Depression in Social Media. ECIR (3) (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. ECIR (3) (2023)
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers. CoRR (2023)
Eliseo Bao, Anxo Pérez, Javier Parapar
Conversations in Galician: a Large Language Model for an Underrepresented Language. CoRR (2023)
Manuel Couto, Anxo Pérez, Javier Parapar
TemporalWord Embeddings for Early Detection of Signs of Depression. CIRCLE (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. ECIR (2) (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2022: Early Risk Prediction on the Internet. CLEF (2022)
Jorge Gabín, M. Eduardo Ares, Javier Parapar
Exploring Models for Automatic Keyword Labelling of Scientific Documents. CIRCLE (2022)
Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych
Semantic Similarity Models for Depression Severity Estimation. CoRR (2022)
David Otero, Patricia Martín-Rodilla, Javier Parapar
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 15 (1) (2022)
Anxo Pérez, Javier Parapar, Álvaro Barreiro
Automatic depression score estimation with word embedding models. Artif. Intell. Medicine 132 (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2021)
Javier Parapar, Filip Radlinski
Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM (2021)
Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling. ENASE (2021)
Javier Parapar, David E. Losada, Álvaro Barreiro
Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC (2021)
Javier Parapar, Filip Radlinski
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys (2021)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. ECIR (2) (2021)
David Otero, Javier Parapar, Álvaro Barreiro
The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. SAC (2021)
Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar
Gender Classification Models and Feature Impact for Social Media Author Profiling. ENASE (Selected Papers) (2021)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2021: Early Risk Prediction on the Internet. CLEF (2021)
Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
Using score distributions to compare statistical significance tests for information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 71 (1) (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk 2020: Early Risk Prediction on the Internet. CLEF (2020)
Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro
Statistical language models for query-by-example spoken document retrieval. Multim. Tools Appl. 79 (11-12) (2020)
David E. Losada, Fabio Crestani, Javier Parapar
eRisk 2020: Self-harm and Depression Challenges. ECIR (2) (2020)
David Otero, Javier Parapar, Álvaro Barreiro
Beaver: Efficiently Building Test Collections for Novel Tasks. CIRCLE (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2020)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23 (4) (2020)
Alfonso Landin, Javier Parapar, Álvaro Barreiro
Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. ECIR (2) (2020)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Shallow Neural Models for Top-N Recommendation. ECAI (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk 2019 Early Risk Prediction on the Internet. CLEF (2019)
David E. Losada, Javier Parapar, Alvaro Barreiro
When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. J. Assoc. Inf. Sci. Technol. 70 (1) (2019)
Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro
Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping. Inf. Process. Manag. 56 (1) (2019)
Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro
Collaborative filtering embeddings for memory-based recommender systems. Eng. Appl. Artif. Intell. 85 (2019)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
PRIN: A Probabilistic Recommender with Item Priors and Neural Models. ECIR (1) (2019)
Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. CoRR (2019)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). CLEF (Working Notes) (2019)
David E. Losada, Fabio Crestani, Javier Parapar
Early Detection of Risks on the Internet: An Exploratory Campaign. ECIR (2) (2019)
David E. Losada, Javier Parapar, Alvaro Barreiro
Cost-effective construction of Information Retrieval test collections. CERI (2018)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys (2018)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk: Early Risk Prediction on the Internet. CLEF (2018)
David E. Losada, Javier Parapar, Alvaro Barreiro
A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation. Inf. Fusion 39 (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
LiMe: linear methods for pseudo-relevance feedback. SAC (2018)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). CLEF (Working Notes) (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Eng. Appl. Artif. Intell. 75 (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Finding and analysing good neighbourhoods to improve collaborative filtering. Knowl. Based Syst. 159 (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Query Expansion as a Matrix Factorization Problem: Extended Abstract. CERI (2018)
David E. Losada, Javier Parapar, Alvaro Barreiro
Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems. Inf. Process. Manag. 53 (5) (2017)
David E. Losada, Fabio Crestani, Javier Parapar
eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. CLEF (2017)
David E. Losada, Javier Parapar
Psychological Features for Automatic Text Summarization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25 (Supplement-2) (2017)
David E. Losada, Fabio Crestani, Javier Parapar
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. CLEF (Working Notes) (2017)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Axiomatic Analysis of Language Modelling of Recommender Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25 (Supplement-2) (2017)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Combining Top-N Recommenders with Metasearch Algorithms. SIGIR (2017)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. ECIR (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. CERI (2016)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Language Models for Collaborative Filtering Neighbourhoods. ECIR (2016)
David E. Losada, Javier Parapar, Alvaro Barreiro
Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. SAC (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. IIR (2016)
David E. Losada, Javier Parapar
Injecting Multiple Psychological Features into Standard Text Summarisers. CERI (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Item-based relevance modelling of recommendations for getting rid of long tail products. Knowl. Based Syst. 103 (2016)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. ECIR (2015)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Distributed Recommendation Platform for Big Data. J. Univers. Comput. Sci. 21 (13) (2015)
José M. Chenlo, Javier Parapar, David E. Losada, José Santos
Finding a needle in the blogosphere: An information fusion approach for blog distillation search. Inf. Fusion 23 (2015)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. RecSys (2015)
Fidel Cacheda, Javier Parapar
Information Retrieval and Recommender Systems. J. Univers. Comput. Sci. 21 (13) (2015)
Javier Parapar, David E. Losada, Alvaro Barreiro
Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. J. Univers. Comput. Sci. 20 (2) (2014)
Javier Parapar, Manuel A. Presedo Quindimil, Alvaro Barreiro
Score distributions for Pseudo Relevance Feedback. Inf. Sci. 273 (2014)
José M. Chenlo, Javier Parapar, David E. Losada
Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. CAEPIA (2013)
Javier Parapar, Alejandro Bellogín, Pablo Castells, Alvaro Barreiro
Relevance-based language modelling for recommender systems. Inf. Process. Manag. 49 (4) (2013)
Alejandro Bellogín, Javier Parapar, Pablo Castells
Probabilistic collaborative filtering with negative cross entropy. RecSys (2013)
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
An experimental study of constrained clustering effectiveness in presence of erroneous constraints. Inf. Process. Manag. 48 (3) (2012)
Javier Parapar, Alvaro Barreiro
Language Modelling of Constraints for Text Clustering. ECIR (2012)
Alejandro Bellogín, Javier Parapar
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. RecSys (2012)
Javier Parapar, David E. Losada, Alvaro Barreiro
A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. CLEF (Online Working Notes/Labs/Workshop) (2012)
Ismael Hasan, Javier Parapar, Alvaro Barreiro
Improving the Extraction of Text in PDFs by Simulating the Human Reading Order. J. Univers. Comput. Sci. 18 (5) (2012)
Javier Parapar, Alvaro Barreiro
A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters. CAEPIA (2011)
Javier Parapar, Alvaro Barreiro
Promoting Divergent Terms in the Estimation of Relevance Models. ICTIR (2011)
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
Improving Text Clustering with Social Tagging. ICWSM (2011)
Renato Bulcão Neto, José Antonio Camacho Guerrero, Márcio Branquinho Dutra, Alvaro Barreiro, Javier Parapar, Alessandra A. Macedo
The Use of Latent Semantic Indexing to Mitigate OCR Effects of Related Document Images. J. Univers. Comput. Sci. 17 (1) (2011)
Ronald T. Fernández, Javier Parapar, David E. Losada, Alvaro Barreiro
Where to start filtering redundancy?: a cluster-based approach. SIGIR (2010)
Javier Parapar, Jorge López-Castro, Alvaro Barreiro
Blog snippets: a comments-biased approach. SIGIR (2010)
Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani
University of Lugano at TREC 2010. TREC (2010)
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms. DEXA (2) (2010)
Renato Bulcão Neto, José Antonio Camacho Guerrero, Alvaro Barreiro, Javier Parapar, Alessandra A. Macedo
An automatic linking service of document images reducing the effects of OCR errors with latent semantics. SAC (2010)
Javier Parapar, David E. Losada, Alvaro Barreiro
Compression-based document length prior for language models. SIGIR (2009)
Javier Parapar, Ana Freire, Alvaro Barreiro
Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections. ECIR (2009)
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. ICTIR (2009)

Javier Parapar.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Javier Parapar