activity
20092021
most citedPredicting the Semantic Textual Similarity with Siamese CNN and LSTM

46 citations · 150 across the 33 of their papers we have counts for

collaborators

36 papers

cs.CL2021★ 1 cited

A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing

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.…

cs.CL2021

LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features

Rodrigo Cuéllar-Hidalgo, Julio de Jesús Guerrero-Zambrano, Dominic Forest +2

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 identif…

cs.CL2020★ 1 cited

LiSSS: A toy corpus of Spanish Literary Sentences for Emotions detection

Juan-Manuel Torres-Moreno, Luis-Gil Moreno-Jiménez

In this work we present a new small data-set in Computational Creativity (CC) field, the Spanish Literary Sentences for emotions detection corpus (LISSS). We address this corpus of…

cs.IR2020★ 3 cited

Automatic Discourse Segmentation: Review and Perspectives

Iria da Cunha, Juan-Manuel Torres-Moreno

Multilingual discourse parsing is a very prominent research topic. The first stage for discourse parsing is discourse segmentation. The study reported in this article addresses a r…

cs.IR2020

Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)

Carlos-Emiliano González-Gallardo, Eric SanJuan, Juan-Manuel Torres-Moreno

Standard informativeness measures used to evaluate Automatic Text Summarization mostly rely on n-gram overlapping between the automatic summary and the reference summaries. These m…

cs.CL2020

A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming

Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno +2

Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences. MSC enables summarization and question-answering sy…