磨坊
发表于 2025-3-23 13:09:57
Rational Kernels for Arabic Text Classificationhis allow us to use rational kernels as a framework for Arabic Text Classification. Experiments show that, when compared with other approaches, our approach is more effective specially in term of Accuracy, Recall and F1.
acolyte
发表于 2025-3-23 15:39:10
http://reply.papertrans.cn/88/8765/876452/876452_12.png
创作
发表于 2025-3-23 21:28:58
http://reply.papertrans.cn/88/8765/876452/876452_13.png
顶点
发表于 2025-3-24 01:01:10
Deep Learning of Representations: Looking Forwardient and powerful inference and sampling procedures, and learning to disentangle the factors of variation underlying the observed data. It also proposes a few forward-looking research directions aimed at overcoming these challenges.
墙壁
发表于 2025-3-24 04:06:42
http://reply.papertrans.cn/88/8765/876452/876452_15.png
保全
发表于 2025-3-24 07:58:31
http://reply.papertrans.cn/88/8765/876452/876452_16.png
600
发表于 2025-3-24 11:47:57
Experiments with Semantic Similarity Measures Based on LDA and LSAbutions over topics and words. The proposed evaluation methods can also be regarded as an extrinsic method for evaluating topic coherence or selecting the number of topics in LDA models, i.e. a task-based evaluation of topic coherence and selection of number of topics in LDA.
最小
发表于 2025-3-24 14:59:51
http://reply.papertrans.cn/88/8765/876452/876452_18.png
Monocle
发表于 2025-3-24 21:16:38
Deep Learning of Representations: Looking Forwardenting more abstract concepts. Although the study of deep learning has already led to impressive theoretical results, learning algorithms and breakthrough experiments, several challenges lie ahead. This paper proposes to examine some of these challenges, centering on the questions of scaling deep le
Vsd168
发表于 2025-3-25 00:13:08
Challenges and Opportunities of Multilingual Information Accessresults in a distribution of information not only across different sources but also different languages. While various areas within natural language processing, such as machine translation, information extraction, and cross-language information retrieval, have made substantial advances over the last