Nagendra Koilada
Nagendra Koilada is a Senior Software Engineer at Google. He work on problems in information retrieval, natural language processing and machine learning. He received his Master's degree from University of California, Irvine and Bachelor's degree from Birla Institute of Technology & Science, Pilani.
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Bayesian text segmentation for index term identification and keyphrase extraction
David Newman
Jey Han Lau
Timothy Baldwin
Proceedings of International Conference on Computational Linguistics (COLING) (2012)
Preview abstract
Automatically extracting terminology and index terms from scientific literature is useful for a variety of digital library, indexing and search applications. This task is non-trivial, complicated by domain-specific terminology and a steady introduction of new terminology. Correctly identifying nested terminology further adds to the challenge. We present a Dirichlet Process (DP) model of word segmentation where multiword segments are either retrieved from a cache or newly generated. We show how this DP-Segmentation model can be used to successfully extract nested terminology, outperforming previous methods for solving this problem.
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