@inproceedings{f42055e6de064f64bab76cfd58a97bb0,
title = "Automatic Slicing and Comprehension of CVs",
abstract = "Automatic comprehension of Curriculum Vit{\ae}s (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.",
keywords = "Automatic Shortlisting, CV Categorisation, CV Comprehension, CV Parsing, Slicing",
author = "Martin Cronje and Abejide Ade-Ibijola",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018 ; Conference date: 21-11-2018 Through 22-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISCMI.2018.8703234",
language = "English",
series = "5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "99--103",
booktitle = "5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018",
address = "United States",
}