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Found 12 papers, 8 papers with code
Pretrained Biomedical Language Models for Clinical NLP in Spanish
This work presents the first large-scale biomedical Spanish language models trained from scratch, using large biomedical corpora consisting of a total of 1. 1B tokens and an EHR corpus of 95M tokens.
esCorpius: A Massive Spanish Crawling Corpus
However, the results in Spanish present important shortcomings, as they are either too small in comparison with other languages, or present a low quality derived from sub-optimal cleaning and deduplication.
The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset
In this work, we present the Large Labelled Logo Dataset (L3D), a multipurpose, hand-labelled, continuously growing dataset.
Ranked #1 on
Image Classification
on Large Labelled Logo Dataset (L3D)
(Eval F1 metric)
FinEAS: Financial Embedding Analysis of Sentiment
We introduce a new language representation model in finance called Financial Embedding Analysis of Sentiment (FinEAS).
Spanish Legalese Language Model and Corpora
There are many Language Models for the English language according to its worldwide relevance.
Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models
We introduce CoWeSe (the Corpus Web Salud Espa\~nol), the largest Spanish biomedical corpus to date, consisting of 4. 5GB (about 750M tokens) of clean plain text.
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario
To the best of our knowledge, we provide the first biomedical and clinical transformer-based pretrained language models for Spanish, intending to boost native Spanish NLP applications in biomedicine.
MarIA: Spanish Language Models
This work presents MarIA, a family of Spanish language models and associated resources made available to the industry and the research community.
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set
The training of neural networks is usually monitored with a validation (holdout) set to estimate the generalization of the model.
Spanish Biomedical and Clinical Language Embeddings
We computed both Word and Sub-word Embeddings using FastText.
Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology
Characterizing the structural properties of neural networks is crucial yet poorly understood, and there are no well-established similarity measures between networks.
A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics
Email can be one of the most fruitful attack vectors of research institutions as they also contain access to all accounts and thus to all private information.
Cryptography and Security Social and Information Networks
