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- W2142146659 abstract "In this paper we present an approach for extracting multiple connections or links between subject and object from natural language input (English), which can have one or more than one subject, predicate and object. The parse tree visualization and the dependencies generated from the Stanford Parser are used to extract this information from the given sentence. Using the dependencies we have generated an output which displays which subject is related to which object and the connecting predicate. Finding the subjects and objects helps in determining the entities involved and the predicates determine the relationship that exists between the subject and the object. An algorithm has been developed to do so and this algorithm is elucidated in detail step-wise. We have named our algorithm 'The Multi-Liaison Algorithm' since the liaison between the subjects and objects would be displayed. The word 'liaison' has been used since we are displaying the relationship and association between the subjects and predicates. This output would be useful for natural language processing (NLP), information retrieval, information extraction and also text mining applications." @default.
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- W2142146659 date "2011-01-01" @default.
- W2142146659 modified "2023-09-29" @default.
- W2142146659 title "The Multi-Liaison Algorithm" @default.
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