语义文本相似性的无监督模型
项目描述
简单句相似度
我们提供了一组简单的无监督语义文本相似度方法来计算两个句子之间的语义相似度。
参考
如果您发现此代码对您的研究有用,请考虑引用:
@inproceedings{ranasinghe-etal-2019-enhancing,
title = "Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations",
author = "Ranasinghe, Tharindu and
Orasan, Constantin and
Mitkov, Ruslan",
booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
month = sep,
year = "2019",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd.",
url = "https://www.aclweb.org/anthology/R19-1115",
doi = "10.26615/978-954-452-056-4_115",
pages = "994--1003",
abstract = "Calculating Semantic Textual Similarity (STS) plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction. All modern state of the art STS methods rely on word embeddings one way or another. The recently introduced contextualised word embeddings have proved more effective than standard word embeddings in many natural language processing tasks. This paper evaluates the impact of several contextualised word embeddings on unsupervised STS methods and compares it with the existing supervised/unsupervised STS methods for different datasets in different languages and different domains",
}
}
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simples-2.1.3-py3-none-any.whl
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