TY  - UNPB
ID  - SisLab3349
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3349/
A1  - Pham Van, Long
A1  - Vu Ngoc, Sang
A1  - Nguyen Van, Vinh
Y1  - 2018///
N2  - This paper deals with the parsing application developed for the resumes (or CV) received in
multiple formats like doc, docx, pdf, txt. These resumes can be automatically retrieved and
processed by a resume information extraction system. Extracted information such as name,
phone / mobile number, e-mail id, qualification, experience, skill sets etc., can be stored as a
structured information in a database and then can be used in many different areas. Our system
consists of 4 phases: Text Segmentation, Name Entity Recognition using Rule-based, Find Name
Entities using Deep Neural Network and Text Normalization. Our work is conducted on a
medium-sized collections of CV files in Vietnamese. We archived promising results with over
81% F1 for NER and also compared our model with other systems
PB  - Conference
M1  - technical_report
TI  - Study of Information Extraction in Resume
AV  - public
ER  -