Name
Abstract | ||
|---|---|---|
In recent years, there have been extensive studies and rapid progresses in text similarity computing that is one of the host and important techniques in many NLP applications. This paper first introduces the background, the basic computing process, the related resources and the techniques of text similarity computing. By comparing several typical models, three key issues about text similarity computing are addressed in details which include text representation model, the similarity calculation and the quality evaluation. The typical applications of text similarity computing are addressed. Finally, the difficulties to compute the text similarity and many future research directions are discussed..
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3290420.3290473 | Proceedings of the 4th International Conference on Communication and Information Processing |
Keywords | DocType | ISBN |
knowledge acquisition, natural language processing, text representation, text similarity computing | Conference | 978-1-4503-6534-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingtian Zeng | 1 | 242 | 43.67 |
| Hua Zhao | 2 | 0 | 1.01 |
| Hua Duan | 3 | 110 | 19.58 |
| Chao Li | 4 | 0 | 0.34 |
| Weijian Ni | 5 | 14 | 8.09 |
| Nengfu Xie | 6 | 0 | 0.68 |
| Xiuli Diao | 7 | 0 | 0.68 |