46 citations · 150 across the 33 of their papers we have counts for
11 papers · 1 filter
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…
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…
Automatic Text Summarization Approaches to Speed up Topic Model Learning Process
Mohamed Morchid, Juan-Manuel Torres-Moreno, Richard Dufour +2
The number of documents available into Internet moves each day up. For this reason, processing this amount of information effectively and expressibly becomes a major concern for co…
A German Corpus for Text Similarity Detection Tasks
Juan-Manuel Torres-Moreno, Gerardo Sierra, Peter Peinl
Text similarity detection aims at measuring the degree of similarity between a pair of texts. Corpora available for text similarity detection are designed to evaluate the algorithm…
Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14
Luis Adrián Cabrera-Diego, Stéphane Huet, Bassam Jabaian +4
This year, the DEFT campaign (Défi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented. We d…
Efficient Social Network Multilingual Classification using Character, POS n-grams and Dynamic Normalization
Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno, Azucena Montes Rendón +1
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…
Artex is AnotheR TEXt summarizer
Juan-Manuel Torres-Moreno
This paper describes Artex, another algorithm for Automatic Text Summarization. In order to rank sentences, a simple inner product is calculated between each sentence, a document v…
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization
Juan-Manuel Torres-Moreno
In Automatic Text Summarization, preprocessing is an important phase to reduce the space of textual representation. Classically, stemming and lemmatization have been widely used fo…
Improving Update Summarization by Revisiting the MMR Criterion
Florian Boudin, Juan-Manuel Torres-Moreno, Marc El-Bèze
This paper describes a method for multi-document update summarization that relies on a double maximization criterion. A Maximal Marginal Relevance like criterion, modified and so c…
Automatic Summarization System coupled with a Question-Answering System (QAAS)
Juan-Manuel Torres-Moreno, Pier-Luc St-Onge, Michel Gagnon +2
To select the most relevant sentences of a document, it uses an optimal decision algorithm that combines several metrics. The metrics processes, weighting and extract pertinence se…
Statistical Automatic Summarization in Organic Chemistry
Florian Boudin, Patricia Velazquez-Morales, Juan-Manuel Torres-Moreno
We present an oriented numerical summarizer algorithm, applied to producing automatic summaries of scientific documents in Organic Chemistry. We present its implementation named Ya…