Abstract
In this paper, we propose an event words based method for story link detection. Different from previous studies, we use time and places to label nouns and named entities, the featured nouns/named entities are called event words. In our approach, a document is represented by five dimensions including nouns/named entities, time featured nouns/named entities, place featured nouns/named entities, time&place featured nouns/named entities and publication date. Experimental results show that, our method gain a significant improvement over baseline and event words plays a vital role in this improvement. Especially when using publication date, we can reach the highest 92% on precision.
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Wang, L., Li, F. (2011). Story Link Detection Based on Event Words. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2011. Lecture Notes in Computer Science, vol 6609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19437-5_16
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DOI: https://doi.org/10.1007/978-3-642-19437-5_16
Publisher Name: Springer, Berlin, Heidelberg
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