Papers by L. Alfonso Ureña-López

3 papers
MentalRiskES: A New Corpus for Early Detection of Mental Disorders in Spanish (2024.lrec-main)

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Challenge: Existing studies on the prevalence of mental disorders on the Web are limited to the English language.
Approach: They propose to use user messages posted on Telegram groups to annotate the corpus for natural language processing and to conduct experiments on text classification and regression.
Outcome: The proposed corpus contains over 1,300 subjects with more than 45,000 messages posted in different public Telegram groups.
Question Answering over Tabular Data with DataBench: A Large-Scale Empirical Evaluation of LLMs (2024.lrec-main)

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Challenge: Large Language Models (LLMs) are showing emerging abilities, but they are not large enough to assess their capabilities.
Approach: They propose a benchmark that compares large language models with open and closed source models.
Outcome: The proposed benchmark compares open and closed-source models with open-source and closed source models.
A review of Spanish corpora annotated with negation (C18-1)

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Challenge: Existing corpora annotated with negation information are small and not always compatible . negation is a linguistic phenomenon that is not addressed in English .
Approach: They review existing corpora annotated with negation in Spanish and analyze compatibility . they propose to develop a supervised negation processing system for Spanish .
Outcome: The proposed system will not be able to merge the small corpora in Spanish due to lack of compatibility in annotations.

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