?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3349%2F&rft.title=Study+of+Information+Extraction+in+Resume&rft.creator=Pham+Van%2C+Long&rft.creator=Vu+Ngoc%2C+Sang&rft.creator=Nguyen+Van%2C+Vinh&rft.subject=Information+Technology+(IT)&rft.description=This+paper+deals+with+the+parsing+application+developed+for+the+resumes+(or+CV)+received+in%0D%0Amultiple+formats+like+doc%2C+docx%2C+pdf%2C+txt.+These+resumes+can+be+automatically+retrieved+and%0D%0Aprocessed+by+a+resume+information+extraction+system.+Extracted+information+such+as+name%2C%0D%0Aphone+%2F+mobile+number%2C+e-mail+id%2C+qualification%2C+experience%2C+skill+sets+etc.%2C+can+be+stored+as+a%0D%0Astructured+information+in+a+database+and+then+can+be+used+in+many+different+areas.+Our+system%0D%0Aconsists+of+4+phases%3A+Text+Segmentation%2C+Name+Entity+Recognition+using+Rule-based%2C+Find+Name%0D%0AEntities+using+Deep+Neural+Network+and+Text+Normalization.+Our+work+is+conducted+on+a%0D%0Amedium-sized+collections+of+CV+files+in+Vietnamese.+We+archived+promising+results+with+over%0D%0A81%25+F1+for+NER+and+also+compared+our+model+with+other+systems&rft.publisher=Conference&rft.date=2018&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3349%2F1%2FStudy-of-Information-Extraction-in-CV_paper%2520%25281%2529.pdf&rft.identifier=++Pham+Van%2C+Long+and+Vu+Ngoc%2C+Sang+and+Nguyen+Van%2C+Vinh++(2018)+Study+of+Information+Extraction+in+Resume.++Technical+Report.+Conference.++++(Unpublished)++