no code implementations • 25 Dec 2021 • Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli S. Wedemann
In recent years, researchers in the area of Computational Creativity have studied the human creative process proposing different approaches to reproduce it with a formal procedure.
no code implementations • ICON 2021 • Rodrigo Cuéllar-Hidalgo, Julio de Jesús Guerrero-Zambrano, Dominic Forest, Gerardo Reyes-Salgado, Juan-Manuel Torres-Moreno
This work aims to evaluate the ability that both probabilistic and state-of-the-art vector space modeling (VSM) methods provide to well known machine learning algorithms to identify social network documents to be classified as aggressive, gender biased or communally charged.
no code implementations • 17 May 2020 • Juan-Manuel Torres-Moreno, Luis-Gil Moreno-Jiménez
We address this corpus of literary sentences in order to evaluate or design algorithms of emotions classification and detection.
no code implementations • 1 May 2020 • Iria da Cunha, Juan-Manuel Torres-Moreno
Multilingual discourse parsing is a very prominent research topic.
no code implementations • 14 Apr 2020 • Carlos-Emiliano González-Gallardo, Eric SanJuan, Juan-Manuel Torres-Moreno
In this paper we define the concept of Interestingness as a generalization of Informativeness, whereby the information need is diverse and formalized as an unknown set of implicit queries.
no code implementations • 9 Apr 2020 • Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Thiago G. da Silva, Andréa Carneiro Linhares
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences.
no code implementations • 10 Feb 2020 • Rémy Saksik, Alejandro Molina-Villegas, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality.
no code implementations • 20 Jan 2020 • Carlos-Emiliano González-Gallardo, Romain Deveaud, Eric SanJuan, Juan-Manuel Torres-Moreno
Our method, based on an extractive summarization approach, aims to select the most relevant segments until a time threshold is reached.
no code implementations • 17 Jan 2020 • Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli S. Wedemann
In this work we present a state of the art in the area of Computational Creativity (CC).
no code implementations • 17 Jan 2020 • Ana Lilia Laureano-Cruces, Laura Hernández-Domínguez, Martha Mora-Torres, Juan-Manuel Torres-Moreno, Jaime Enrique Cabrera-López
In this paper, we present a visual emulator of the emotions seen in characters in stories.
no code implementations • 16 Jan 2020 • Jean Valère Cossu, Juan-Manuel Torres-Moreno, Eric SanJuan, Marc El-Bèze
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business.
no code implementations • 12 Jan 2020 • Andrés Torres-Rivera, Juan-Manuel Torres-Moreno
Finally, we present a comparison of these outcomes with the concordances of each word to show how we can determine if a word could be a valid candidate for SN.
no code implementations • 3 Jan 2020 • Alexandre Nadjem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Guillaume Marrel, Benoît Bonte
In this paper we introduce concepts, large categories of fields of studies or job domains in order to represent the vision of the future of the user's trajectory.
no code implementations • 19 Dec 2019 • Alfonso Medina-Urrea, Juan-Manuel Torres-Moreno
This paper presents RIMAX, a new system for detecting semantic rhymes, using a Comprehensive Mexican Spanish Dictionary (DEM) and its Rhyming Dictionary (REM).
no code implementations • 11 Mar 2019 • Marc El-Bèze, Juan-Manuel Torres-Moreno, Frédéric Béchet
We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge.
no code implementations • 24 Oct 2018 • Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno
Cross-Language Text Summarization (CLTS) generates summaries in a language different from the language of the source documents.
no code implementations • JEPTALNRECITAL 2018 • Elvys Linhares Pontes, Stéphane Huet, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno
Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP).
no code implementations • 4 Sep 2018 • Carlos-Emiliano González-Gallardo, Malek Hajjem, Eric SanJuan, Juan-Manuel Torres-Moreno
In this paper we propose a new approach to evaluate the informativeness of transcriptions coming from Automatic Speech Recognition systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 27 Aug 2018 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno
Do standard evaluation metrics like precision, recall, F-score or classification error; and more important, evaluating an automatic system against a unique reference is enough to conclude how well a SBD system is performing given the final application of the transcript?
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • COLING 2018 • Ignacio Arroyo-Fern{\'a}ndez, Dominic Forest, Juan-Manuel Torres-Moreno, Mauricio Carrasco-Ruiz, Thomas Legeleux, Karen Joannette
This study aims to assess the ability that both classical and state-of-the-art vector space modeling methods provide to well known learning machines to identify aggression levels in social network cyberbullying (i. e. social network posts manually labeled as Overtly Aggressive, Covertly Aggressive and Non-aggressive).
no code implementations • WS 2018 • Elvys Linhares Pontes, St{\'e}phane Huet, Thiago Gouveia da Silva, Andr{\'e}a Carneiro Linhares, Juan-Manuel Torres-Moreno
Multi-Sentence Compression (MSC) aims to generate a short sentence with key information from a cluster of closely related sentences.
no code implementations • JEPTALNRECITAL 2018 • Patrick Paroubek, Cyril Grouin, Patrice Bellot, Vincent Claveau, Iris Eshkol-Taravella, Amel Fraisse, Agata Jackiewicz, Jihen Karoui, Laura Monceaux, Juan-Manuel Torres-Moreno
Cet article pr{\'e}sente l{'}{\'e}dition 2018 de la campagne d{'}{\'e}valuation DEFT (D{\'e}fi Fouille de Textes).
no code implementations • 13 Feb 2018 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno
All three models have good F1 scores reaching values over 0. 97 regarding the "not sentence boundary" class.
no code implementations • 17 Oct 2017 • Ignacio Arroyo-Fernández, Carlos-Francisco Méndez-Cruz, Gerardo Sierra, Juan-Manuel Torres-Moreno, Grigori Sidorov
Results showed that our model outperformed the state of the art in well-known Semantic Textual Similarity (STS) benchmarks.
Open-Ended Question Answering Semantic Textual Similarity +3
no code implementations • 20 Mar 2017 • Mohamed Morchid, Juan-Manuel Torres-Moreno, Richard Dufour, Javier Ramírez-Rodríguez, Georges Linarès
One of the main difficulty in using topic model on huge data collection is related to the material resources (CPU time and memory) required for model estimate.
no code implementations • 19 Mar 2017 • Elvys Linhares Pontes, Thiago Gouveia da Silva, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno, Stéphane Huet
The Internet has led to a dramatic increase in the amount of available information.
no code implementations • 11 Mar 2017 • Iria da Cunha, Eric SanJuan, Juan-Manuel Torres-Moreno, Irene Castellón
In this article we present the first discourse segmenter for texts in Catalan.
no code implementations • 11 Mar 2017 • Juan-Manuel Torres-Moreno, Gerardo Sierra, Peter Peinl
The purpose of this corpus is to automatically assess the similarity between a pair of texts and to evaluate different similarity measures, both for whole documents or for individual sentences.
no code implementations • 21 Feb 2017 • Xavier Bost, Ilaria Brunetti, Luis Adrián Cabrera-Diego, Jean-Valère Cossu, Andréa Linhares, Mohamed Morchid, Juan-Manuel Torres-Moreno, Marc El-Bèze, Richard Dufour
The 2013 D\'efi de Fouille de Textes (DEFT) campaign is interested in two types of language analysis tasks, the document classification and the information extraction in the specialized domain of cuisine recipes.
no code implementations • 21 Feb 2017 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno, Azucena Montes Rendón, Gerardo Sierra
In this paper we describe a dynamic normalization process applied to social network multilingual documents (Facebook and Twitter) to improve the performance of the Author profiling task for short texts.
no code implementations • 21 Feb 2017 • Luis Adrián Cabrera-Diego, Stéphane Huet, Bassam Jabaian, Alejandro Molina, Juan-Manuel Torres-Moreno, Marc El-Bèze, Barthélémy Durette
This year, the DEFT campaign (D\'efi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented.
no code implementations • 26 Jan 2016 • Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares
This paper aims to introduces a new algorithm for automatic speech-to-text summarization based on statistical divergences of probabilities and graphs.
no code implementations • 20 Jan 2015 • Gerardo Sierra, Juan-Manuel Torres-Moreno, Alejandro Molina
This article focuses on the description and evaluation of a new unsupervised learning method of clustering of definitions in Spanish according to their semantic.
no code implementations • 6 Jan 2015 • Mayeul Mathias, Assema Moussa, Fen Zhou, Juan-Manuel Torres-Moreno, Marie-Sylvie Poli, Didier Josselin, Marc El-Bèze, Andréa Carneiro Linhares, Francoise Rigat
This paper proposes a new method to provide personalized tour recommendation for museum visits.
no code implementations • 6 Jan 2015 • Juan-Manuel Torres-Moreno, Javier Ramirez, Iria da Cunha
In this paper we present REG, a graph-based approach for study a fundamental problem of Natural Language Processing (NLP): the automatic text summarization.
no code implementations • JEPTALNRECITAL 2014 • Luis Adri{\'a}n Cabrera-Diego, St{\'e}phane Huet, Bassam Jabaian, Alej Molina, ro, Juan-Manuel Torres-Moreno, Marc El-B{\`e}ze, Barth{\'e}l{\'e}my Durette
1 code implementation • 14 Sep 2012 • Juan-Manuel Torres-Moreno
This paper describes a new method for normalization of words to further reduce the space of representation.