Character-Level Convolutional Neural Network for Paraphrase Detection and Other Experiments
Communications in Computer and Information Science(2018)
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.
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关键词
Paraphrase detection,Word embeddings,Character embeddings,Convolutional neural networks,Distributional semantics
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