Semantic representation is the very an important issue for signifying content of the text. Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human languages. It processes the data through lexical analysis, Syntax analysis, Semantic analysis, Discourse processing, Pragmatic analysis. This paper compares various semantic/ knowledge representation schemes. The FOL algorithm in this paper splits the English sentences into phrases and then represents these in predicate logic by considering the types of sentences (Simple, Interrogative, Exclamatory, Passive etc.). Semantic representation is also done through NLP Chunker. The algorithm has been tested on sentences of English. The algorithm has achieved an accuracy of 75%. This representation would be used in future for Semantic based Text summarization.
Author Keywords:- Natural Language, Semantic Representation, Predicates, FOL, POS-Tagger
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type: Journal
Original Language: English
Document Type: Article
Number of pages: 07
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