H.3.8. Natural Language Processing
A Transformer-based Approach for Persian Text Chunking

P. Kavehzadeh; M. M. Abdollah Pour; S. Momtazi

Articles in Press, Accepted Manuscript, Available Online from 20 June 2022

http://dx.doi.org/10.22044/jadm.2022.11035.2250

Abstract
  Over the last few years, text chunking has taken a significant part in sequence labeling tasks. Although a large variety of methods have been proposed for shallow parsing in English, most proposed approaches for text chunking in Persian language are based on simple and traditional concepts. In this paper, ...  Read More

Document and Text Processing
A Joint Semantic Vector Representation Model for Text Clustering and Classification

S. Momtazi; A. Rahbar; D. Salami; I. Khanijazani

Volume 7, Issue 3 , July 2019, , Pages 443-450

http://dx.doi.org/10.22044/jadm.2019.7400.1876

Abstract
  Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, ...  Read More