KJS inside pages October 2016.indd Page 1 Kuwait J. Sci. 43 (4) pp. 95-113, 2016 A survey on
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …

In recent information explosion, contents in internet are multilingual and majority will be in
the form of natural languages. Processing of these natural languages for various language …

Named Entity Recognition (NER) aims to classify each word of a document into predefined
target named entity classes and is now-a-days considered to be fundamental for many …

In this paper, we pose the classifier ensemble problem under single and multiobjective
optimization frameworks, and evaluate it for Named Entity Recognition (NER), an important …

Named Entity Recognition (NER) aims to classify each word of a document into predefined
target named entity (NE) classes and is nowadays considered to be fundamental for many …

This paper reports about the task of Part of Speech (POS) tagging for Bengali using the
statistical Conditional Random Fields (CRFs). The POS tagger has been developed using a …

In this article, we report the search capability of Genetic Algorithm (GA) to construct a
weighted vote-based classifier ensemble for Named Entity Recognition (NER). Our …

This paper reports about a multi-engine approach for the development of a Named Entity
Recognition (NER) system in Bengali by combining the classifiers such as Maximum …

This paper describes the development of Named Entity Recognition (NER) systems for two
leading Indian languages, namely Bengali and Hindi, using the Conditional Random Field …

In this paper, we propose a simulated annealing (SA) based multiobjective optimization
(MOO) approach for classifier ensemble. Several different versions of the objective functions …