Abstract
New Event Detection (NED) aims to recognize the first story for a new event that had not been discussed before. The traditional event detection model basically adopts incremental TF-IDF weights for the terms, not considered the effect of part of speech and named entities in the document. The paper explore the application of weighting the part of speech and generates document theme terms based on the document named entity to detect new event, which can improve performance comparing with the traditional model.
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Diao, H., Xu, G., Xiao, J. (2011). An Improved New Event Detection Model. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_63
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DOI: https://doi.org/10.1007/978-3-642-19853-3_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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