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Full-Text Articles in Physical Sciences and Mathematics
Improving The Relevancy Of Document Search Using The Multi-Term Adjacency Keyword-Order Model, Ram Gopal Raj
Improving The Relevancy Of Document Search Using The Multi-Term Adjacency Keyword-Order Model, Ram Gopal Raj
Ram Gopal Raj
This paper presents an enhanced vector space model, Multi-Term Adjacency Keyword-Order Model, to improve the relevancy of search results, specifically document search. Our model is based on the concept of keyword grouping. The keyword-order relationship in the adjacency terms is taken into consideration in measuring a term’s weight. Assigning more weights to adjacency terms in a query order results in the document vector being moved closer to the query vector, and hence increases the relevancy between the two vectors and thus eventually results in documents with better relevancy being retrieved. The performance of our model is measured based on precision …
A Model For Determining The Degree Of Contradictions In Information, Ram Gopal Raj
A Model For Determining The Degree Of Contradictions In Information, Ram Gopal Raj
Ram Gopal Raj
Conversational systems are gaining popularity rapidly. Consequently, the believability of the conversational systems or chatterbots is becoming increasingly important. Recent research has proven that learning chatterbots tend to be rated as being more believable by users. Based on Raj’s Model for Chatterbot Trust, we present a model for allowing chatterbots to determine the degree of contradictions in contradictory statements when learning thereby allowing them to potentially learn more accurately via a form of discourse. Some information that is learnt by a chatterbot may be contradicted by other information presented subsequently. Choosing correctly which information to use is critical in chatterbot …