Loading...
Parsing Thai Social Data: A New Challenge for Thai NLP
Author(s)
Singkul, Sattaya
Khampingyot, Borirat
Maharattamalai, Nattasit
Taerungruang, Supawat
Chalothorn, Tawunrat
Date Issued
October 1, 2019
Type
Conference Paper
Abstract
Dependency parsing (DP) is a task that analyzes text for syntactic structure and relationship between words. DP is widely used to improve natural language processing (NLP) applications in many languages such as English. Previous works on DP are generally applicable to formally written languages. However, they do not apply to informal languages such as the ones used in social networks. Therefore, DP has to be researched and explored with such social network data. In this paper, we explore and identify a DP model that is suitable for Thai social network data. After that, we will identify the appropriate linguistic unit as an input. The result showed that, the transition based model called, improve Elkared dependency parser outperform the others at UAS of 81.42%.
Citation
Proceedings 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing Isai Nlp 2019, 2019