Author:
Swetha G.,Arvind S.,Singh S. P.,Johri Prashant
Reference19 articles.
1. Jing L, Ng MK, Xu J, Huang Z (2005) Subspace clustering of text documents with feature weighting k-means algorithm. In: Proceedings of PAKDD, pp. 802–812
2. Metzler D, Dumais S, Meek C (2007) Similarity measures for short segments of text. Springer, Berlin
3. Karimzadehgan M, Zhai C (2010) Estimation of statistical translation models based on mutual information for ad hoc information retrieval. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval. ACM, pp. 323–330
4. Kotlerman L, Dagan I, Kurland O (2018) Clustering small-sized collections of short texts. Inf Retrieval J 21:273.
https://doi.org/10.1007/s10791-017-9324-8
5. Kotlerman L, Dagan I, Gorodetsky M, Daya E (2012) Sentence clustering via projection over term clusters. In: *SEM 2012: The first joint conference on lexical and computational semantics—Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the sixth international workshop on semantic evaluation (SemEval 2012). Association for Computational Linguistics, Montre´al, Canada, pp. 38–43.
http://www.aclweb.org/anthology/S12-1005
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Semantic Clustering of Bangla Natural Word using Different Word Embedding Techniques;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17
2. Graph and Centroid-based Word Clustering;Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval;2020-12-18