activity
20102022
most citedPredicting the Semantic Textual Similarity with Siamese CNN and LSTM

46 citations · 68 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2022★ 15 cited

TF-GNN: Graph Neural Networks in TensorFlow

Oleksandr Ferludin, Arno Eigenwillig, Martin Blais +24

TensorFlow-GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow. It is designed from the bottom up to support the kinds of rich heterogeneous graph data that…

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…

cs.CL2020

Automatic Discourse Segmentation: an evaluation in French

Rémy Saksik, Alejandro Molina-Villegas, Andréa Carneiro Linhares +1

In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for document…

cs.CL2018★ 46 cited

Predicting the Semantic Textual Similarity with Siamese CNN and LSTM

Elvys Linhares Pontes, Stéphane Huet, Andréa Carneiro Linhares +1

Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP). Our system combines convolution and recurrent neural networks to measure t…

cs.CL2016

LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization

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. The input is a text from spee…

cs.AI2015★ 7 cited

Optimisation using Natural Language Processing: Personalized Tour Recommendation for Museums

Mayeul Mathias, Assema Moussa, Fen Zhou +6

This paper proposes a new method to provide personalized tour recommendation for museum visits. It combines an optimization of preference criteria of visitors with an automatic ext…

math.OC2010

Solving the Frequency Assignment Problem by Site Availability and Constraint Programming

Andrea Carneiro Linhares, Juan-Manuel Torres-Moreno, Peter Peinl +1

The efficient use of bandwidth for radio communications becomes more and more crucial when developing new information technologies and their applications. The core issues are addre…