Abstract
Stories are the most wonderful and fascinating thing of childhood. It creates a whole new world, each character has a different impact and the end which always states the goodness, helpfulness, courage always empowers and win on evil things. From childhood we are emotionally bonded with different types of stories. Stories are Motivational, Funny, Comedy, Puzzled, and Happiest etc. Each and every story taught us many lessons. Stories are one of the important medium to share knowledge and express the emotions. It can be classified into some types described by Christopher Booker such as Overcoming the Monster, Rags to Riches, The Quest, Voyage and Return, Comedy, Tragedy and Rebirth etc. Stories are not just a text but a powerful tool, they make us understand the moral of life, helps to explain difficult or complex event in a simple and understandable manner. This paper takes into account the stories as the main domain for work and tries to produce a summary of it in the present work extraction of important aspects i.e. feature so that a meaningful summary could be generated. The use of POS tag and NER based relation are used first to extract feature which we decided as Actor, Relation, Location and Event. For all this main terms a rule based extraction is written for proper extraction. The extracted terms are used to extract the sentences and finally sentences are ranked and summary is generated.
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Acknowledgement
Authors would like to acknowledge and thanks to CSRI DST Major Project Sanctioned No. SR/CSRI/71/2015(G), Computational and Psycholinguistic Research Lab for Facility supporting to this work and Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.
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Sawane, D.V., Mahender, C.N. (2021). An Approach to Extract the Relation and Location from the Short Stories. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_34
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