Julio Gonzalo

Latest

Report on the 16th Conference and Labs of the Evaluation Forum (CLEF 2025): Experimental IR Meets Multilinguality, Multimodality, and Interaction
EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
Overview of EXIST 2024 -- Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes
EXIST 2024: sEXism Identification in Social neTworks and Memes
Overview of EXIST 2024 -- Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes (Extended Overview)
Overview of EXIST 2023 -- Learning with Disagreement for Sexism Identification and Characterization
Overview of EXIST 2023 -- Learning with Disagreement for Sexism Identification and Characterization (Extended Overview)
Overview of EXIST 2023: sEXism Identification in Social neTworks
Overview of EXIST 2022: sEXism Identification in Social neTworks
A Comparison of Filtering Evaluation Metrics Based on Formal Constraints
Learning Similarity Functions for Topic Detection in Online Reputation Monitoring
ORMA: A Semi-Automatic Tool for Online Reputation Monitoring in Twitter
Overview of RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation Management
Discovering Filter Keywords for Company Name Disambiguation in Twitter
Overview of RepLab 2013: Evaluating Online Reputation Monitoring Systems
Towards an Active Learning System for Company Name Disambiguation in Microblog Streams
Towards Real-Time Summarization of Scheduled Events from Twitter Streams
UNED at RepLab 2012: Monitoring Task
Filter Keywords and Majority Class Strategies for Company Name Disambiguation in Twitter
Towards an Evaluation Framework for Topic Extraction Systems for Online Reputation Management
WePS-3 Evaluation Campaign: Overview of the Online Reputation Management Task
Caracterización de una entidad basada en opiniones: un estudio de caso