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Found 19 papers, 7 papers with code
The IULA Treebank
In this paper we have focused on describing the work done for defining the annotation process and the treebank design principles.
Using Language Resources in Humanities research
In this paper we present two real cases, in the fields of discourse analysis of newspapers and communication research which demonstrate the impact of Language Resources (LR) and NLP in the humanities.
Metadata as Linked Open Data: mapping disparate XML metadata registries into one RDF/OWL registry.
The proliferation of different metadata schemas and models pose serious problems of interoperability.
Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries
The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes{'} degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries.
Medical Word Embeddings for Spanish: Development and Evaluation
We performed intrinsic evaluation with our adapted datasets, as well as extrinsic evaluation with a named entity recognition systems using a baseline embedding of general-domain.
PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track
We foresee that the PharmaCoNER annotation guidelines, corpus and participant systems will foster the development of new resources for clinical and biomedical text mining systems of Spanish medical data.
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
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.
Spanish Biomedical and Clinical Language Embeddings
We computed both Word and Sub-word Embeddings using FastText.
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.
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020.
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.
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
For this, we: (1) build a clean, high-quality textual Catalan corpus (CaText), the largest to date (but only a fraction of the usual size of the previous work in monolingual language models), (2) train a Transformer-based language model for Catalan (BERTa), and (3) devise a thorough evaluation in a diversity of settings, comprising a complete array of downstream tasks, namely, Part of Speech Tagging, Named Entity Recognition and Classification, Text Classification, Question Answering, and Semantic Textual Similarity, with most of the corresponding datasets being created ex novo.
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.
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.
Spanish Legalese Language Model and Corpora
There are many Language Models for the English language according to its worldwide relevance.
The Catalan Language CLUB
The Catalan Language Understanding Benchmark (CLUB) encompasses various datasets representative of different NLU tasks that enable accurate evaluations of language models, following the General Language Understanding Evaluation (GLUE) example.
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.
ParlamentParla: A Speech Corpus of Catalan Parliamentary Sessions
This corpus has already been used in training of state-of-the-art ASR systems, and proof-of-concept text-to-speech (TTS) models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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