Unsupervised Technique for Automatically Extracting Components of References
Kalpana Uppada1, M. Kranthi Kiran2, Sridhar Seepana3, S. Jahnavi4, K. Gipson Nikil5
1Kalpana Uppada , Bachelors, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam (AP) India.
2Dr. Mandava Kranthi Kiran , Assistant Professor, GITAM Institute of Technology, GITAM Deemed to be University (AP) India.
3Sridhar Seepana , Bachelors, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam (AP) India.
4Jahnavi Setti , Bachelors, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam (AP) India.
5Gipson Nikil , Bachelors, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam (AP) India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1000-1004 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1644059120/2020©BEIESP | DOI: 10.35940/ijrte.A1644.059120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The automatic extraction of bibliographic data remains a difficult task to the present day, when it’s realized that the scientific publications are not in a standard format and every publications has its own template. There are many “regular expression” techniques and “supervised machine learning” techniques for extracting the entire details of the references mentioned within the bibliographic section. But there’s no much difference within the percentage of their success. Our idea is to seek out whether unsupervised machine learning techniques can help us in increasing the share of success. This paper presents a technique for segregating and automatically extracting the individual components of references like Authors, Title of the references, publications details, etc., using “Unsupervised technique”, “Named-Entity recognition”(NER) technique and link these references to their corresponding full text article with the assistance of google.
Keywords: Regular Expression technique, supervised machine learning, Bibliography, References, Unsupervised technique, Name-Entity recognition.
Scope of the Article: Machine learning