Publications

Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (Extended Overview)

Overview of eRisk 2024: Early Risk Prediction on the Internet

Web Search or Conversation with an Artificial Intelligence? Analysis of Misinformation and Relevance in the Case of Radon Gas

Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation

Inteligencia Artificial y Métodos Big Data para el estudio masivo de datos en Internet: Nuevas metodologías para el análisis de información sanitaria en línea

Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data

Semi-Supervised Learning in the Field of Conversational Agents and Motivational Interviewing

LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling

Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis

A user study on people’s perception to the credibility of online health information

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

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

DepressMind: A Depression Surveillance System for Social Media Analysis

An Unsupervised Perplexity-Based Method for Boilerplate Removal

Inteligencia Artificial para el análisis de información sobre riesgos para la salud en Internet

Overview of eRisk 2023: Early Risk Prediction on the Internet

Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (extended overview)

Health Information on the Internet: Relevant Search Results about Radon

A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media

eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges

Improving the Reliability of Health Information Credibility Assessments

CiTIUS at the TREC 2022 Health Misinformation Track

Early Detection of Mental Health Disorders by Social Media Monitoring

The Challenge of Early Risk Prediction on the Internet

The future of eRisk

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

Early Risk Prediction of Mental Health Disorders

Overview of eRisk 2022: Early Risk Prediction on the Internet

Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview)

Do we still need Human Assessors? Prompt based GPT-3 User Simulation in Conversational AI

A Multistage Retrieval System for Health-related Misinformation Detection

Social Minder: a tool for social media monitoring and its use for detecting COVID-19 misinformation

Real-Time Focused Extraction of Social Media Users

Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

eRisk 2022: pathological gambling, depression and eating disorder challenges

A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies

CiTIUS at the TREC 2021 Health Misinformation Track

Comparing Traditional and Neural Approaches for detecting Health-related Misinformation

Overview of eRisk 2021: Early Risk Prediction on the Internet (extended overview)

Overview of eRisk 2021: Early Risk Prediction on the Internet

Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información

Reliability Prediction for Health-related Content: A Replicability Study

eRisk 2021: Pathological Gambling, Self-Harm and Depression Challenges

A Survey of Computational Methods for Online Mental State Assessment on Social Media

Cost-effective Identification of On-topic Search Queries using Multi-Armed Bandits

Testing the Tests: Simulation of Rankings to Compare Statistical Significance Tests in Information Retrieval Evaluation

Fixed-Cost Pooling Strategies

CiTIUS at the TREC 2020 Health Misinformation Track

Overview of eRisk 2020: Early Risk Prediction on the Internet

Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (extended overview)

eXtream: a System for Real-time Monitoring of Dynamic Web Sources

A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media

eRisk 2020: Self-harm and Depression Challenges

Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation

Discovering Latent Depression Patterns in Online Social Media

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)

Overview of eRisk 2019. Early Risk Prediction on the Internet

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum

Clustering Hydrographic Conditions in Galician Estuaries

Early detection of risks on the Internet: an exploratory campaign

When to Stop Making Relevance Judgments? A Study of Stopping Methods for Building Information Retrieval Test Collections

Organic cattle products: authenticating production origin by analysis of serum mineral content

Overview of eRisk: Early Risk Prediction on the Internet

Overview of eRisk 2018: Early Risk Prediction on the Internet (extended lab overview)

Cost-effective construction of Information Retrieval test collections

Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time

A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media

SEL: a Unified Algorithm for Entity Linking and Saliency Detection

A Rank Fusion Approach based on Score Distributions for Prioritizing Relevance Assessments in Information Retrieval Evaluation

Evaluating and improving lexical resources for detecting signs of depression in text

Psychological Features for Automatic Text Summarization

CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations

Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems

A Test Collection for Research on Depression and Language use

Injecting Multiple Psychological Features into Standard Text Summarisers

Feeling Lucky? Multi-armed Bandits for Ordering Judgements in Pooling-based Evaluation

Finding a Needle in the Blogosphere: An Information Fusion Approach for Blog Distillation Search

Rhetorical Structure Theory for Polarity Estimation: an Experimental Study

An empirical study of sentence features for subjectivity and polarity classification

Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms

A Machine Learning approach for Subjectivity Classification based on Positional and Discourse Features

Comments-Oriented Query Expansion for Opinion Retrieval in Blogs

Sentiment-based Ranking of Blog Posts using Rhetorical Structure Theory

Effective sentence retrieval based on query-independent evidence

A learning-based approach for the identification of sexual predators in chat logs

Effective and Efficient Polarity Estimation in Blogs based on Sentence-Level Evidence

Extending the language modeling framework for sentence retrieval to include local context

Seeding Simulated Queries with User-study Data for Personal Search Evaluation

Ways we can improve Simulated Personal Search Evaluation

Modelos de Recuperación de Información II

Técnicas Avanzadas de Recuperación de Información II

Statistical query expansion for sentence retrieval and its effects on weak and strong queries

Improving Sentence Retrieval with an Importance Prior

Where to Start Filtering Redundancy? A Cluster-Based Approach

Combinig Document and Sentence Scores for Blog Topic retrieval

Evaluación de técnicas de Aprendizaje Activo para codificación CIE-9-MC de informes de alta hospitalaria

Using Opinion-Based Features to boost sentence retrieval

University of Santiago de Compostela at CLEF-IP09

Compression-Based Document Length Prior for Language Models

CIE-9-MC Code Classification with knn and SVM

Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics

Revisiting the Relationship between Document Length and Relevance

Novelty as a Form of Contextual Re-ranking: Efficient KLD Models and Mixture Models

A study of statistical query expansion strategies for sentence retrieval

An analysis on document length retrieval trends in language modelling smoothing

Assessing multivariate Bernoulli models for Information Retrieval

Show me more: incremental length summarisation using novelty detection

Highly frequent terms and sentence retrieval

Fairly Retrieving Documents of All Lengths: A study of Document Length Normalization using the Language Modeling approach

Novelty detection using Local Context Analysis

Summarisation and Novelty: An Experimental Investigation