相同 发表于 2025-3-25 04:10:38

https://doi.org/10.1007/978-3-031-66913-2al information that could be swallowed up in the volume if represented and treated in a single whole context vector. We show that the empirical results obtained are competitive with the standard approach traditionally dedicated to this task.

王得到 发表于 2025-3-25 08:48:49

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情感脆弱 发表于 2025-3-25 14:48:48

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领先 发表于 2025-3-25 18:35:06

Clustering Short Text and Its Evaluations, Complete Link, Single Link, Average Link hierarchical clustering and Spectral clustering, and three evaluation methods, clustering F-measure, adjusted Rand Index, and V. Our experiments show that corpus based similarity measures do not significantly affect the clusters and that the performance of

软弱 发表于 2025-3-25 21:15:18

Computational Linguistics and Intelligent Text Processing13th International C

Foolproof 发表于 2025-3-26 01:07:30

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愚蠢人 发表于 2025-3-26 07:46:37

978-3-642-28600-1Springer-Verlag Berlin Heidelberg 2012

送秋波 发表于 2025-3-26 12:24:24

Natalia Maloshonok,Irina Shcheglova on an approach of an extensive set, over 650, linguistic features to represent the context of a word, and a range of machine learning approaches in the lexical choice task. We extend previous work by experimenting with unsupervised and semi-supervised methods, and use automatic feature selection to

助记 发表于 2025-3-26 12:49:20

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Isolate 发表于 2025-3-26 18:55:08

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查看完整版本: Titlebook: Computational Linguistics and Intelligent Text Processing; 13th International C Alexander Gelbukh Conference proceedings 2012 Springer-Verl