Paraphrase Identification Using Dependency Tree and Word Embeddings

V. Vrublevskyi, O. Marchenko
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引用次数: 1

Abstract

In this paper, we are trying to develop an efficient and simple model for detecting paraphrase sentences in the English language. The dependency tree was chosen as the main structure to represent the relationships between words in a sentence. To represent the word semantics, we are using pre-trained general-purpose word embeddings. Based on these two key components, we designed a few features that can help to identify paraphrases. Conducted experiments proved that the model is efficient and shows relatively close results to state-of-the-art models.
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释义识别使用依赖树和词嵌入
在本文中,我们试图建立一个高效和简单的模型来检测英语中的释义句。选择依存树作为主要结构来表示句子中单词之间的关系。为了表示单词语义,我们使用预训练的通用词嵌入。基于这两个关键组成部分,我们设计了一些可以帮助识别释义的功能。实验证明,该模型是有效的,其结果与目前最先进的模型相当接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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