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Personalization is omnipresent everywhere in today's modern world applications. It is primarily employed to improve user experience by adapting and learning from the patterns and information extracted from the user. There are various methods of making a system learn from the user behaviour. This paper gives a review of some of the techniques used for user profiling and personalisation systems. The...
Word sense disambiguation (WSD) is an intermediate task within information retrieval and information extraction, which attempts selecting the proper sense of ambiguous terms. In the biomedical domain, general WSD has not received much attention compared to the disambiguation of specific categories of entities like proteins and genes or diseases. Statistical learning approaches have achieved better...
This paper presents an outline of our work to develop a word sense disambiguation system in Malayalam. Word sense disambiguation (WSD) is a linguistically based mechanism for automatically defining the correct sense of a word in the context. WSD is a long standing problem in computational linguistics. A particular word may have different meanings in different contexts. For human beings, it is easy...
Evaluating performance is crucial in stability assessments and training as it provides a valuable measure to examine postural control and recommend rehabilitation strategies for improvement. This paper proposes a novel methodology combining self organizing maps and case based reasoning implemented using a relational database management system to access, examine, diagnose and propose recommendations...
In this paper, we propose an approach on answer generation for cooking question answering system. We first review previous work of question analysis. Then, we give annotation scheme for knowledge database. Finally, we present the answer planning based approach for generate an exact answer in natural language. An evaluation has been conducted on natural language questions and the result shows that...
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