@unpublished{SisLab3349,
            type = {Technical Report},
           title = {Study of Information Extraction in Resume},
          author = {Long Pham Van and Sang Vu Ngoc and Vinh Nguyen Van},
       publisher = {Conference},
            year = {2018},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3349/},
        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}
}