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Texto plano - 18,5 KB - MD5: a535e37cdfeb7b182f621a15e2cd7759
DataDatos
This is a plain text file with a CSV structure, consisting of the following two fields: 'LEMA' and 'FORMAS Y VARIANTES'. It contains a list of terms related to women's health, specifically focused on endometriosis. File in English
Texto plano - 33,2 KB - MD5: 542ea78c3419a9028be318c915e2a6f1
DataDatos
This is a plain text file with a CSV structure, consisting of the following two fields: 'LEMA' and 'FORMAS Y VARIANTES.' It contains a list of terms related to women's health, specifically focused on endometriosis. File in Spanish
Texto plano - 17,2 KB - MD5: 59bc66e4657fbccaa81f3622b7dd4d59
DataDatos
This is a plain text file with a CSV structure, consisting of the following two fields: 'LEMA' and 'FORMAS Y VARIANTES.' It contains a list of terms related to women's health, specifically focused on menopause. File in English
Texto plano - 11,0 KB - MD5: 0353a81bcef09cd285da39cfa5f938f3
DataDatos
This is a plain text file with a CSV structure, consisting of the following two fields: 'LEMA' and 'FORMAS Y VARIANTES.' It contains a list of terms related to women's health, specifically focused on menopause. File in Spanish
Texto plano - 8,8 KB - MD5: 33991055e9f52310b5926e3801015320
DocumentaciónDocumentation
Texto plano - 10,0 KB - MD5: 484a9ff04fc2a4b99410a9d743f0c4c3
DocumentaciónDocumentation
1 abr 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative
Moreno-Sandoval, Antonio; Porta, Jordi; García Toro, Ana, 2025, "Automatic discourse markers extractor", https://doi.org/10.21950/7UBNGJ, e-cienciaDatos, V1
This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to apply linguistic annotation on texts containing said markers. The n...
JSON - 913 B - MD5: b90cdec8807596637242cb53638bad42
DataDatos
Texto plano - 497,0 KB - MD5: 90ee55b0a9ed9ec4c882c7e194d927ee
DataDatos
Desconocido - 473,3 MB - MD5: ce9997c7ccdf130b39a39fbde467ad4a
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