Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction

Author:

Waldis AndreasORCID,Mazzola LucaORCID,Kaufmann MichaelORCID

Publisher

Springer International Publishing

Reference32 articles.

1. Beliga, S., Metrovic, A., Martinic-Ipsic, S.: An overview of graph-based keyword extraction methods and approaches. J. Inf. Organ. Sci. 39, 1–20 (2015)

2. Bengio, Y.: Practical recommendations for gradient-based training of deep architectures. CoRR abs/1206.5533 (2012). http://arxiv.org/abs/1206.5533

3. Bennani-Smires, K., Musat, C., Jaggi, M., Hossmann, A., Baeriswyl, M.: EmbedRank: unsupervised keyphrase extraction using sentence embeddings. CoRR abs/1801.04470 (2018). http://arxiv.org/abs/1801.04470

4. Dalvi, N., et al.: A web of concepts. In: Proceedings of the Twenty-Eighth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2009, pp. 1–12. ACM, New York (2009). https://doi.org/10.1145/1559795.1559797

5. Das, B., Pal, S., Mondal, S.K., Dalui, D., Shome, S.K.: Automatic keyword extraction from any text document using n-gram rigid collocation. Int. J. Soft Comput. Eng. (IJSCE) 3(2), 238–242 (2013)

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