Information extraction from research papers based on statistical methods

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Abstract

In the research field we require more time to read a single research paper; it also consumes more time to find the algorithms and limitations of the paper. So we require a fast reading system to identify this problem. This paper identifies the algorithms or techniques, or methods, and limitations of a research paper, and also classifies the area of the algorithm. Key phrases are sets of words that elucidate the relationship between context and content in the document. Key phrases are identified from the document and algorithms or techniques, or methods of that paper are extracted. Keywords are a subset of words that contain important information and the area is classified. Cue words are those that contain meaningful information used to identify the limitations of the paper.

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Kavila, S. D., & Rani, D. F. (2016). Information extraction from research papers based on statistical methods. In Advances in Intelligent Systems and Computing (Vol. 381, pp. 573–580). Springer Verlag. https://doi.org/10.1007/978-81-322-2526-3_59

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