Abstract
The paper lays emphasis on TextRank algorithm, a graph based approach used to tackle the automatic article summarization problem and proposing a variation to the similarity function used to compute scores during sentence extraction. The paper also emphasizes on the role of title of an article (if provided) in extracting an optimal, normalized score for each sentence.
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Sehgal, S., Kumar, B., Maheshwar, Rampal, L., Chaliya, A. (2018). A Modification to Graph Based Approach for Extraction Based Automatic Text Summarization. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_36
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DOI: https://doi.org/10.1007/978-981-10-6875-1_36
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