Time Expression and Named Entity Recognition
Author | : Xiaoshi Zhong |
Publisher | : Springer Nature |
Total Pages | : 113 |
Release | : 2021-08-23 |
ISBN-10 | : 9783030789619 |
ISBN-13 | : 3030789616 |
Rating | : 4/5 (616 Downloads) |
Download or read book Time Expression and Named Entity Recognition written by Xiaoshi Zhong and published by Springer Nature. This book was released on 2021-08-23 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.