International Journal of Computer Applications
Vol. 178, No. 50 (43-49)
Abstract
Abalones are sea snails or molluscs otherwise commonly called as ear shells or sea ears. Because of the
economic importance of the age of the abalone and the cumbersome process that is involved in calculating it,
much research has been done to solve the problem of abalone age prediction using its physical measurements
available in the UCI dataset. This paper reviews the various methods like decision trees, clustering, SVM using Tomek links,
CGANs and CasCor used in an attempt to solve it. Furthermore, in contrast to previous research that saw this as a classification
problem, this paper approaches it as a linear regression problem and analyses the results.
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International Journal of Computer Sciences and Engineering
Vol. 8, Issue 6 (1-5)
Abstract
Natural Language Processing is an active and emerging field of research in the computer sciences. Within it is the subfield of
text simplification which is aimed towards teaching the computer the so far primarily manual task of simplifying text, efficiently. While handcrafted
systems using syntactic techniques were the first simplification systems, Recurrent Neural Networks and Long Short Term Memory networks employed in
seq2seq models with attention were considered state-of-the-art until very recently when the transformer architecture which did away with the computational
problems that plagued them. This paper presents our work on simplification using the transformer architecture in the process of making an end-to-end
simplification system for linguistically complex reference books written in English and our findings on the drawbacks/limitations of the transformer during the
same. We call these drawbacks as the Fact Illusion Induction, Named Entity Problem and Deep Network Problem and try to theorize the possible reasons for them.
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