Jordi Armengol-Estapé
3 papers in the PaperMetrix corpus
Papers by this author
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Medical Word Embeddings for
2019
Word embeddings are representations of words in a dense vector space. Although they are not recent phenomena in Natural Language Processing (NLP), they have gained momentum after the recent developments of neural methods and Word2Vec. …
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esCorpius: A Massive Spanish Crawling Corpus
2022
In the recent years, transformer-based models have lead to significant advances in language modelling for natural language processing.However, they require a vast amount of data to be (pre-)trained and there is a lack of corpora …
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On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
2024 · arXiv (Cornell University)
Few-shot learning aims to learn representations that can tackle novel tasks given a small number of examples. Recent studies show that cross-modal learning can improve representations for few-shot classification. More specifically, language is a rich …