A Proposal for Finding Combinations of Key Values From Texts
Rahul Patil, Prashant Ahire, Amol Dhumane, Saomya Badoniya, Resham Desai, Gautam Bhandari, Bikramjeet Singh Dhami
International Journal of Computational Linguistics Research, Vol. 16, No. 3, 2025.
DOI: https://doi.org/10.6025/ijclr/2025/16/3/99-108
Link: https://www.dline.info/jcl/fulltext/v16n3/jclv16n3_2.pdf
Abstract:
To extract key value pairs from documents like resumes, we have to use various processing techniques to get
relevant information. The extracted information encompasses a diverse range of factors, including education,
experience, skills, interests, and employment history. By gathering such information and presenting it in a
structured format, hiring managers can thoroughly understand and evaluate the backgrounds of applying
candidates, thereby simplifying the entire recruitment process. This versatility allows organisations to
leverage various techniques and technologies to extract valuable information from resumes, enabling them
to streamline their hiring processes and make informed decisions about their workforce.