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2020 – today
- 2024
[j28]Eliseo Bao
, Anxo Pérez, Javier Parapar:
Explainable depression symptom detection in social media. Health Inf. Sci. Syst. 12(1): 47 (2024)- [j27]Manuel Couto, Javier Parapar, David E. Losada:
Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis. Proces. del Leng. Natural 73: 69-81 (2024) - [c73]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2024: Early Risk Prediction on the Internet. CLEF (2) 2024: 73-92 - [c72]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: 759-781 - [c71]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. ECIR (5) 2024: 474-481 - [c70]Paloma Piot, Patricia Martín-Rodilla, Javier Parapar:
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. ICWSM 2024: 2025-2039 - [i10]Paloma Piot, Patricia Martín-Rodilla, Javier Parapar:
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. CoRR abs/2401.06526 (2024) - [i9]Jorge Gabín, M. Eduardo Ares, Javier Parapar:
Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering. CoRR abs/2409.16760 (2024) - [i8]Paloma Piot, Javier Parapar:
Decoding Hate: Exploring Language Models' Reactions to Hate Speech. CoRR abs/2410.00775 (2024) - 2023
- [c69]David Otero, Javier Parapar, Nicola Ferro:
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CIKM 2023: 1960-1970 - [c68]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2023: Early Risk Prediction on the Internet. CLEF 2023: 294-315 - [c67]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: 611-638 - [c66]Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro:
PsyProf: A Platform for Assisted Screening of Depression in Social Media. ECIR (3) 2023: 300-306 - [c65]Jorge Gabín, M. Eduardo Ares, Javier Parapar:
Keyword Embeddings for Query Suggestion. ECIR (1) 2023: 346-360 - [c64]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. ECIR (3) 2023: 585-592 - [c63]Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych:
Semantic Similarity Models for Depression Severity Estimation. EMNLP 2023: 16104-16118 - [c62]Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa:
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. SIGIR 2023: 2996-3006 - [i7]Jorge Gabín, M. Eduardo Ares, Javier Parapar:
Keyword Embeddings for Query Suggestion. CoRR abs/2301.08006 (2023) - [i6]David Otero, Javier Parapar, Nicola Ferro:
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CoRR abs/2308.09340 (2023) - [i5]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 abs/2308.10758 (2023) - [i4]Eliseo Bao Souto, Anxo Pérez, Javier Parapar:
Explainable Depression Symptom Detection in Social Media. CoRR abs/2310.13664 (2023) - [i3]Eliseo Bao, Anxo Pérez, Javier Parapar:
Conversations in Galician: a Large Language Model for an Underrepresented Language. CoRR abs/2311.03812 (2023) - 2022
- [j26]Anxo Pérez, Javier Parapar, Álvaro Barreiro:
Automatic depression score estimation with word embedding models. Artif. Intell. Medicine 132: 102380 (2022) - [j25]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): 9:1-9:13 (2022) - [c61]Manuel Couto, Anxo Pérez, Javier Parapar:
TemporalWord Embeddings for Early Detection of Signs of Depression. CIRCLE 2022 - [c60]Jorge Gabín, M. Eduardo Ares, Javier Parapar:
Exploring Models for Automatic Keyword Labelling of Scientific Documents. CIRCLE 2022 - [c59]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2022: Early Risk Prediction on the Internet. CLEF 2022: 233-256 - [c58]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: 821-850 - [c57]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. ECIR (2) 2022: 436-442 - [i2]Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych:
Semantic Similarity Models for Depression Severity Estimation. CoRR abs/2211.07624 (2022) - 2021
- [c56]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2021: Early Risk Prediction on the Internet. CLEF 2021: 324-344 - [c55]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: 864-887 - [c54]Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. ECIR (2) 2021: 650-656 - [c53]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: 103-113 - [c52]Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar:
Gender Classification Models and Feature Impact for Social Media Author Profiling. ENASE (Selected Papers) 2021: 265-287 - [c51]Javier Parapar, Filip Radlinski:
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys 2021: 75-84 - [c50]Javier Parapar, David E. Losada, Álvaro Barreiro:
Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC 2021: 655-664 - [c49]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: 672-680 - [c48]Javier Parapar, Filip Radlinski:
Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM 2021: 130-138 - 2020
- [j24]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23(4): 411-448 (2020) - [j23]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): 98-113 (2020) - [j22]Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro:
Statistical language models for query-by-example spoken document retrieval. Multim. Tools Appl. 79(11-12): 7927-7949 (2020) - [c47]David Otero, Javier Parapar, Álvaro Barreiro:
Beaver: Efficiently Building Test Collections for Novel Tasks. CIRCLE 2020 - [c46]David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk 2020: Early Risk Prediction on the Internet. CLEF 2020: 272-287 - [c45]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 - [c44]Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Shallow Neural Models for Top-N Recommendation. ECAI 2020: 2911-2912 - [c43]Alfonso Landin, Javier Parapar, Álvaro Barreiro:
Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. ECIR (2) 2020: 215-222 - [c42]David E. Losada, Fabio Crestani, Javier Parapar:
eRisk 2020: Self-harm and Depression Challenges. ECIR (2) 2020: 557-563
2010 – 2019
- 2019
- [j21]Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro:
Collaborative filtering embeddings for memory-based recommender systems. Eng. Appl. Artif. Intell. 85: 347-356 (2019) - [j20]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): 43-60 (2019) - [j19]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): 49-60 (2019) - [c41]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 - [c40]David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk 2019 Early Risk Prediction on the Internet. CLEF 2019: 340-357 - [c39]Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
PRIN: A Probabilistic Recommender with Item Priors and Neural Models. ECIR (1) 2019: 133-147 - [c38]David E. Losada, Fabio Crestani, Javier Parapar:
Early Detection of Risks on the Internet: An Exploratory Campaign. ECIR (2) 2019: 259-266 - [i1]Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro:
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. CoRR abs/1901.10696 (2019) - 2018
- [j18]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Eng. Appl. Artif. Intell. 75: 114-124 (2018) - [j17]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: 56-71 (2018) - [j16]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Finding and analysing good neighbourhoods to improve collaborative filtering. Knowl. Based Syst. 159: 193-202 (2018) - [c37]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Query Expansion as a Matrix Factorization Problem: Extended Abstract. CERI 2018: 3:1-3:4 - [c36]David E. Losada, Javier Parapar, Alvaro Barreiro:
Cost-effective construction of Information Retrieval test collections. CERI 2018: 12:1-12:2 - [c35]David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). CLEF (Working Notes) 2018 - [c34]David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk: Early Risk Prediction on the Internet. CLEF 2018: 343-361 - [c33]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys 2018: 260-268 - [c32]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
LiMe: linear methods for pseudo-relevance feedback. SAC 2018: 678-687 - 2017
- [j15]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Axiomatic Analysis of Language Modelling of Recommender Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-2): 113-128 (2017) - [j14]David E. Losada, Javier Parapar:
Psychological Features for Automatic Text Summarization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-2): 129-150 (2017) - [j13]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): 1005-1025 (2017) - [c31]David E. Losada, Fabio Crestani, Javier Parapar:
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. CLEF (Working Notes) 2017 - [c30]David E. Losada, Fabio Crestani, Javier Parapar:
eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. CLEF 2017: 346-360 - [c29]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Combining Top-N Recommenders with Metasearch Algorithms. SIGIR 2017: 805-808 - 2016
- [j12]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Item-based relevance modelling of recommendations for getting rid of long tail products. Knowl. Based Syst. 103: 41-51 (2016) - [c28]David E. Losada, Javier Parapar:
Injecting Multiple Psychological Features into Standard Text Summarisers. CERI 2016: 3 - [c27]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. CERI 2016: 9 - [c26]Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. ECIR 2016: 602-613 - [c25]Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
Language Models for Collaborative Filtering Neighbourhoods. ECIR 2016: 614-625 - [c24]Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. IIR 2016 - [c23]David E. Losada, Javier Parapar, Alvaro Barreiro:
Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. SAC 2016: 1027-1034 - 2015
- [j11]José M. Chenlo, Javier Parapar, David E. Losada, José Santos Reyes:
Finding a needle in the blogosphere: An information fusion approach for blog distillation search. Inf. Fusion 23: 58-68 (2015) - [j10]Fidel Cacheda, Javier Parapar:
Information Retrieval and Recommender Systems. J. Univers. Comput. Sci. 21(13): 1706-1707 (2015) - [j9]Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
A Distributed Recommendation Platform for Big Data. J. Univers. Comput. Sci. 21(13): 1810-1829 (2015) - [c22]Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. ECIR 2015: 346-351 - [c21]Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. RecSys 2015: 237-240 - 2014
- [j8]Javier Parapar, Manuel A. Presedo Quindimil, Alvaro Barreiro:
Score distributions for Pseudo Relevance Feedback. Inf. Sci. 273: 171-181 (2014) - [j7]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): 213-239 (2014) - 2013
- [j6]Javier Parapar, Alejandro Bellogín, Pablo Castells, Alvaro Barreiro:
Relevance-based language modelling for recommender systems. Inf. Process. Manag. 49(4): 966-980 (2013) - [c20]José M. Chenlo, Javier Parapar, David E. Losada:
Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. CAEPIA 2013: 32-41 - [c19]Alejandro Bellogín, Javier Parapar, Pablo Castells:
Probabilistic collaborative filtering with negative cross entropy. RecSys 2013: 387-390 - 2012
- [j5]M. Eduardo Ares, Javier Parapar, Alvaro Barreiro:
An experimental study of constrained clustering effectiveness in presence of erroneous constraints. Inf. Process. Manag. 48(3): 537-551 (2012) - [j4]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): 623-649 (2012) - [c18]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 - [c17]Javier Parapar, Alvaro Barreiro:
Language Modelling of Constraints for Text Clustering. ECIR 2012: 352-363 - [c16]Alejandro Bellogín, Javier Parapar:
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. RecSys 2012: 213-216 - 2011
- [j3]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): 64-80 (2011) - [c15]Javier Parapar, Alvaro Barreiro:
A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters. CAEPIA 2011: 403-412 - [c14]Javier Parapar, Alvaro Barreiro:
Promoting Divergent Terms in the Estimation of Relevance Models. ICTIR 2011: 77-88 - [c13]M. Eduardo Ares, Javier Parapar, Alvaro Barreiro:
Improving Text Clustering with Social Tagging. ICWSM 2011 - 2010
- [c12]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: 407-421 - [c11]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: 13-17 - [c10]Javier Parapar, Jorge López-Castro, Alvaro Barreiro:
Blog snippets: a comments-biased approach. SIGIR 2010: 711-712 - [c9]Ronald T. Fernández, Javier Parapar, David E. Losada, Alvaro Barreiro:
Where to start filtering redundancy?: a cluster-based approach. SIGIR 2010: 735-736 - [c8]Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani:
University of Lugano at TREC 2010. TREC 2010
2000 – 2009
- 2009
- [c7]Javier Parapar, Alvaro Barreiro:
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints. ECIR 2009: 645-653 - [c6]Javier Parapar, Ana Freire, Alvaro Barreiro:
Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections. ECIR 2009: 680-684 - [c5]M. Eduardo Ares, Javier Parapar, Alvaro Barreiro:
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. ICTIR 2009: 322-329 - [c4]Javier Parapar, David E. Losada, Alvaro Barreiro:
Compression-based document length prior for language models. SIGIR 2009: 652-653 - 2008
- [c3]Javier Parapar, Alvaro Barreiro:
Winnowing-based text clustering. CIKM 2008: 1353-1354 - [c2]Ismael Hasan, Javier Parapar, Roi Blanco:
Segmentation of Legislative Documents Using a Domain-Specific Lexicon. DEXA Workshops 2008: 665-669 - 2007
- [j2]Javier Parapar, Alvaro Barreiro:
NowOnWeb: a NewsIR System. Proces. del Leng. Natural 39 (2007) - [j1]Javier Parapar, Isabel Moskowich-Spiegel Fandiño:
The Coruña Corpus Tool. Proces. del Leng. Natural 39 (2007) - [c1]Javier Parapar, José M. Casanova, Alvaro Barreiro:
NowOnWeb: News Search and Summarization. EUROCAST 2007: 225-232
Coauthor Index
Álvaro Barreiro
aka: Alvaro Barreiro
aka: Alvaro Barreiro
[c66] [c62] [j26] [c50] [c49] [j23] [j22] [c47] [c44] [c43] [j21] [j20] [j19] [c39] [i1] [j18] [j17] [j16] [c37] [c36] [c32] [j15] [j13] [c29] [j12] [c27] [c26] [c25] [c24] [c23] [j9] [c22] [c21] [j8] [j7] [j6] [j5] [j4] [c18] [c17] [j3] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [j2] [c1]
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