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

被引：2

作者：

Maraev, Vladislav ^{[1
]}

Saedi, Chakaveh ^{[1
]}

Rodrigues, Joao ^{[1
]}

Branco, Antonio ^{[1
]}

Silva, Joao ^{[1
]}

机构：

[1] Univ Lisbon, Fac Sci, Dept Informat, Lisbon, Portugal

来源：

ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE | 2018年 / 789卷

关键词：

Paraphrase detection; Word embeddings; Character embeddings; Convolutional neural networks; Distributional semantics;

D O I：

10.1007/978-3-319-71746-3_23

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：293 / 304

页数：12

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