eprintid: 3349
rev_number: 11
eprint_status: archive
userid: 345
dir: disk0/00/00/33/49
datestamp: 2018-12-20 01:44:39
lastmod: 2018-12-20 01:44:39
status_changed: 2018-12-20 01:44:39
type: monograph
metadata_visibility: show
creators_name: Pham Van, Long
creators_name: Vu Ngoc, Sang
creators_name: Nguyen Van, Vinh
creators_id: vinhnv@vnu.edu.vn
corp_creators: VNU University of Engineering and Technology
corp_creators: VNU University of Engineering and Technology
corp_creators: VNU University of Engineering and Technology
title: Study of Information Extraction in Resume
ispublished: unpub
subjects: IT
divisions: fac_fit
abstract: 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
date: 2018
publisher: Conference
full_text_status: public
monograph_type: technical_report
citation:   Pham Van, Long and Vu Ngoc, Sang and Nguyen Van, Vinh  (2018) Study of Information Extraction in Resume.  Technical Report. Conference.    (Unpublished)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3349/1/Study-of-Information-Extraction-in-CV_paper%20%281%29.pdf