TY - GEN
T1 - Automatic Slicing and Comprehension of CVs
AU - Cronje, Martin
AU - Ade-Ibijola, Abejide
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Automatic comprehension of Curriculum Vitæs (CVs) is an Expert Task in Artificial Intelligence. This involves using algorithms to read and understand CVs for the purpose of extracting needed information from them. Performing a similar task on computer programs is known as Program Analysis (which involves program slicing, and semantic analysis). In this paper we have attempted to automatically comprehend CVs by analysing them like computer programs; i.e. slicing them into sections, and performing semantic analysis on contained sections, using a set of rules. We focused on textual CVs with formatting styles. We have presented the criteria used by our slicing algorithm and enclosed preliminary results of a prototype software tool that takes a CV and determines its sections. The algorithm and tool presented in this paper may find applications in automatic shortlisting of candidates, where large number of CVs are being considered.
AB - Automatic comprehension of Curriculum Vitæs (CVs) is an Expert Task in Artificial Intelligence. This involves using algorithms to read and understand CVs for the purpose of extracting needed information from them. Performing a similar task on computer programs is known as Program Analysis (which involves program slicing, and semantic analysis). In this paper we have attempted to automatically comprehend CVs by analysing them like computer programs; i.e. slicing them into sections, and performing semantic analysis on contained sections, using a set of rules. We focused on textual CVs with formatting styles. We have presented the criteria used by our slicing algorithm and enclosed preliminary results of a prototype software tool that takes a CV and determines its sections. The algorithm and tool presented in this paper may find applications in automatic shortlisting of candidates, where large number of CVs are being considered.
KW - Automatic Shortlisting
KW - CV Categorisation
KW - CV Comprehension
KW - CV Parsing
KW - Slicing
UR - http://www.scopus.com/inward/record.url?scp=85065735552&partnerID=8YFLogxK
U2 - 10.1109/ISCMI.2018.8703234
DO - 10.1109/ISCMI.2018.8703234
M3 - Conference contribution
AN - SCOPUS:85065735552
T3 - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
SP - 99
EP - 103
BT - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
Y2 - 21 November 2018 through 22 November 2018
ER -