22 citations · 46 across the 5 of their papers we have counts for
5 papers
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods
David Otero, Javier Parapar, Nicola Ferro
Creating test collections for offline retrieval evaluation requires human effort to judge documents' relevance. This expensive activity motivated much work in developing methods fo…
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar +1
Computational methods for depression detection aim to mine traces of depression from online publications posted by Internet users. However, solutions trained on existing collection…
Keyword Embeddings for Query Suggestion
Jorge Gabín, M. Eduardo Ares, Javier Parapar
Nowadays, search engine users commonly rely on query suggestions to improve their initial inputs. Current systems are very good at recommending lexical adaptations or spelling corr…
Semantic Similarity Models for Depression Severity Estimation
Anxo Pérez, Neha Warikoo, Kexin Wang +2
Depressive disorders constitute a severe public health issue worldwide. However, public health systems have limited capacity for case detection and diagnosis. In this regard, the w…
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation
Javier Parapar, David E. Losada, Manuel A. Presedo-Quindimil +1
Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies hav…