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Character-Level Convolutional Neural Network for Paraphrase Detection and Other Experiments

Conference paper
Authors Vladislav Maraev
Chakaveh Saedi
João Rodrigues
António Branco
João Silva
Published in Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St. Petersburg, Russia, September 20--23, 2017, Revised Selected Papers
ISBN 978-3-319-71746-3
Publisher Springer International Publishing
Place of publication Cham
Publication year 2017
Published at
Language en
Links https://doi.org/10.1007/978-3-319-7...
Subject categories Computational linguistics

Abstract

The central goal of this paper is to report on the results of an experimental study on the application of character-level embeddings and basic convolutional neural network to the shared task of sentence paraphrase detection in Russian. This approach was tested in the standard run of Task 2 of that shared task and revealed competitive results, namely 73.9% accuracy against the test set. It is compared against a word-level convolutional neural network for the same task, and varied other approaches, such as rule-based and classical machine learning.

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