Abstract
Events extraction is a significant and interesting task in the field of Natural Language Processing (NLP). Basically events are the dynamic occurrences, specific happenings, causes or things. An event plays a vital role in narrative of text and also important for many NLP applications. This paper presents a Hybrid/Composite way of events extraction from natural language text. Earlier work of events extractions were developed with rule based approach or machine learning methods. The Proposed hybrid makes use of both machine learning approaches and hand coded rules to extract the events. Experiments were conducted on SemEval-2010 data set, the results obtained shown better precision and recall when compared with the existing methods.
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Guda, V., Sanampudi, S.K. (2018). A Hybrid Method for Extraction of Events from Natural Language Text. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_28
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DOI: https://doi.org/10.1007/978-981-10-3223-3_28
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