Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Helena Gómez-Adorno"'
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101888- (2024)
This paper introduces a new Python API called text2graphAPI. It is an easy-to-use library for transforming text documents into different graph representations, such as Word-Cooccurrence, Heterogeneous, and Integrated Syntactic Graphs. In addition, it
Externí odkaz:
https://doaj.org/article/6e81dc51a8114397a2f48dc87e427a39
Publikováno v:
Linguamática, Vol 14, Iss 1 (2022)
Existe un gran número de trabajos que tienen por objeto la clasificación de diversos tipos de documentos, desde textos literarios hasta interacciones informales en redes sociales como Twitter, de acuerdo a los sentimientos que pretenden evocar. Se
Externí odkaz:
https://doaj.org/article/88564a81884b4312b7e77f27157e0f8a
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10644 (2022)
We present a neural network architecture focused on verifying facts against evidence found in a knowledge base. The architecture can perform relevance evaluation and claim verification, parts of a well-known three-stage method of fact-checking. We fi
Externí odkaz:
https://doaj.org/article/b41eca13aa01438680e6e88057a3b60c
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3578 (2022)
Since the rise of Transformer networks and large language models, cross-encoders have become the dominant architecture for various Natural Language Processing tasks. When dealing with sentence pairs, they can exploit the relationships between those p
Externí odkaz:
https://doaj.org/article/4c7eccf001d343d3bb5e26fed638af8c
Publikováno v:
Mathematics, Vol 10, Iss 2, p 277 (2022)
In this work, we propose a novel approach to solve the authorship identification task on a cross-topic and open-set scenario. Authorship verification is the task of determining whether or not two texts were written by the same author. We model the do
Externí odkaz:
https://doaj.org/article/188db0330a264a6aa88adf62501978a6
Publikováno v:
Healthcare, Vol 9, Iss 8, p 1036 (2021)
Reminiscence therapy is a non-pharmacological intervention that helps mitigate unstable psychological and emotional states in patients with Alzheimer’s disease, where past experiences are evoked through conversations between the patients and their
Externí odkaz:
https://doaj.org/article/dc42711471754dc4a3c912d13fee980b
Autor:
Gemma Bel-Enguix, Helena Gómez-Adorno, Alejandro Pimentel, Sergio-Luis Ojeda-Trueba, Brian Aguilar-Vizuet
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3880 (2021)
In this paper, we introduce the T-MexNeg corpus of Tweets written in Mexican Spanish. It consists of 13,704 Tweets, of which 4895 contain negation structures. We performed an analysis of negation statements embedded in the language employed on social
Externí odkaz:
https://doaj.org/article/aabcbb3275f84774a29fd5316c428436
Publikováno v:
Sensors, Vol 16, Iss 9, p 1374 (2016)
We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection. This graph-based representation allows integrating different levels of language description into a single structure. We extract text
Externí odkaz:
https://doaj.org/article/e4c4a6dfcde248eba0ee5a5b3c5c807c
Autor:
Stephanie Vázquez-González, María Somodevilla-García, Rosalva Loreto López, Helena Gómez-Adorno
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4779-4787
The aim of this article is to contextualize and describe the gathering and annotation of a conventual Hispanic and Novo Hispanic texts corpus for emotions identification. Such corpus will be the dataset for an emotions identification model based on m
Autor:
Melesio Crespo-Sanchez, Ivan Lopez-Arevalo, Edwin Aldana-Bobadilla, Helena Gomez-Adorno, Jose Luis Gonzalez-Compean
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101849- (2024)
Spectrep (Spectral Representation) implements a text representation framework for obtaining a multi-view representation that consolidates lexical, syntactic, and semantic features by structuring a workflow with popular text processing tools such as N
Externí odkaz:
https://doaj.org/article/90b23e6745fa4b4aafa23969e9ffc2c7