Javier Parapar

Javier Parapar

Universidade da Coruña

H-index: 23

Europe-Spain

About Javier Parapar

Javier Parapar, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at Universidade da Coruña, specializes in the field of Information Retrieval, Recommender Systems, Text Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

Keyword Embeddings for Query Suggestion

erisk 2023: Depression, pathological gambling, and eating disorder challenges

Using machine learning techniques to predict adolescents’ involvement in family conflict

Psyprof: A platform for assisted screening of depression in social media

Overview of erisk 2023: Early risk prediction on the internet

Javier Parapar Information

University

Position

Information Retrieval Lab - CITIC -

Citations(all)

2146

Citations(since 2020)

1618

Cited By

1047

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

56

i10Index(since 2020)

38

Email

University Profile Page

Universidade da Coruña

Google Scholar

View Google Scholar Profile

Javier Parapar Skills & Research Interests

Information Retrieval

Recommender Systems

Text Mining

Top articles of Javier Parapar

Title

Journal

Author(s)

Publication Date

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2024/3/23

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

Mario Aragon

Javier Parapar

David E Losada

2024/3

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

arXiv preprint arXiv:2401.06526

Paloma Piot

Patricia Martín-Rodilla

Javier Parapar

2024/1/12

Keyword Embeddings for Query Suggestion

Jorge Gabín

M Eduardo Ares

Javier Parapar

2023/3/17

erisk 2023: Depression, pathological gambling, and eating disorder challenges

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2023/3/16

Using machine learning techniques to predict adolescents’ involvement in family conflict

Social Science Computer Review

Silvia Lopez-Larrosa

Vanesa Sánchez-Souto

David E Losada

Javier Parapar

Álvaro Barreiro

...

2023/10

Psyprof: A platform for assisted screening of depression in social media

Anxo Pérez

Paloma Piot-Pérez-Abadín

Javier Parapar

Álvaro Barreiro

2023/3/16

Overview of erisk 2023: Early risk prediction on the internet

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2023/9/11

DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers

arXiv preprint arXiv:2308.10758

Anxo Pérez

Marcos Fernández-Pichel

Javier Parapar

David E Losada

2023/8/21

Conversations in Galician: a Large Language Model for an Underrepresented Language

arXiv preprint arXiv:2311.03812

Eliseo Bao

Anxo Pérez

Javier Parapar

2023/11/7

Bdi-sen: A sentence dataset for clinical symptoms of depression

Anxo Pérez

Javier Parapar

Álvaro Barreiro

Silvia Lopez-Larrosa

2023/7/19

How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods

David Otero

Javier Parapar

Nicola Ferro

2023/10/21

Relevance feedback for building pooled test collections

Journal of Information Science

David Otero

Javier Parapar

Álvaro Barreiro

2023/5/26

Explainable Depression Symptom Detection in Social Media

arXiv preprint arXiv:2310.13664

Eliseo Bao

Anxo Pérez

Javier Parapar

2023/10/20

Exploring Models for Automatic Keyword Labelling of Scientific Documents.

Jorge Gabín

M Eduardo Ares

Javier Parapar

2022

A Survey of the First Five Years of eRisk: Findings and Conclusions

Esteban A Ríssola

Javier Parapar

David E Losada

Fabio Crestani

2022/9/15

Semantic Similarity Models for Depression Severity Estimation

arXiv preprint arXiv:2211.07624

Anxo Pérez

Neha Warikoo

Kexin Wang

Javier Parapar

Iryna Gurevych

2022/11/14

The Challenge of Early Risk Prediction on the Internet

David E Losada

Fabio Crestani

Javier Parapar

2022/9/15

Early detection of mental health disorders by social media monitoring: the first five years of the ERisk project

Fabio Crestani

David E Losada

Javier Parapar

2022/9/14

Automatic depression score estimation with word embedding models

Artificial Intelligence in Medicine

Anxo Pérez

Javier Parapar

Álvaro Barreiro

2022/10/1

See List of Professors in Javier Parapar University(Universidade da Coruña)

Co-Authors

H-index: 48
Fabio Crestani

Fabio Crestani

Università della Svizzera Italiana

H-index: 34
Alejandro Bellogin (ORCID: 0000-0001-6368-2510)

Alejandro Bellogin (ORCID: 0000-0001-6368-2510)

Universidad Autónoma de Madrid

H-index: 28
Mark J. Carman

Mark J. Carman

Politecnico di Milano

H-index: 27
David E. Losada

David E. Losada

Universidad de Santiago de Compostela

H-index: 22
Alvaro Barreiro

Alvaro Barreiro

Universidade da Coruña

H-index: 14
Isabel Moskowich

Isabel Moskowich

Universidade da Coruña

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