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Keyword Embeddings for Query Suggestion
(Springer, Cham, 2023-04)
[Abstract]: 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 corrections to users’ queries. ...
Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling
(SCITEPRESS, 2021)
[Abstract] Automatic user profiling from social networks has become a popular task due to its commercial applications
(targeted advertising, market studies...). Automatic profiling models infer demographic characteristics
of ...
Explainable depression symptom detection in social media
(Springer, 2024-09)
[Abstract]: Users of social platforms often perceive these sites as supportive spaces to post about their mental health issues. Those conversations contain important traces about individuals’ health risks. Recently, ...
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods
(Association for Computing Machinery, 2023-10)
[Abstract]: Creating test collections for offline retrieval evaluation requires human effort to judge documents' relevance. This expensive activity motivated much work in developing methods for constructing benchmarks with ...
Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview)
(CEUR-WS, 2024)
[Abstract]: This paper presents eRisk 2024, the eighth edition of the CLEF conference’s lab dedicated to early risk detection.
Since its inception, the lab has been at the forefront of developing and refining evaluation ...
Automatic depression score estimation with word embedding models
(Elsevier, 2022)
[Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ...
eRisk 2020: autolesiones y desafíos de la depresión
(Springer, 2020-04-08)
[Abstract] This paper describes eRisk, the CLEF lab on early risk prediction on the Internet. eRisk started in 2017 as an attempt to set the experimental foundations of early risk detection. Over the last three editions ...
Multiple-Choice Question Answering Models for Automatic Depression Severity Estimation
(MDPI, 2021)
[Abstract] Depression is one of the most prevalent mental health diseases. Although there are effective treatments, the main problem relies on providing early and effective risk detection. Medical experts use self-reporting ...
Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020’s Tensions Over Race and Heritage
(2021)
[Abstract] Social networks constitute a valuable source for documenting heritage constitution processes or obtaining a real-time snapshot of a cultural heritage research topic. Many heritage researchers use social networks ...
Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings
(Springer, 2020-04-08)
[Abstract] Nowadays, item recommendation is an increasing concern for many companies. Users tend to be more reactive than proactive for solving information needs. Recommendation accuracy became the most studied aspect of ...
