Results 51 to 60 of about 1,417,478 (120)
Character-level Convolutional Networks for Text Classification [PDF]
, 2015 This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of ...
LeCun, Yann, Zhang, Xiang, Zhao, Junbo
core +1 more source
Adversarial Multi-task Learning for Text Classification
, 2017 Neural network models have shown their promising opportunities for multi-task learning, which focus on learning the shared layers to extract the common and task-invariant features.
Huang, Xuanjing +2 more
core +1 more source
Text Clustering as Classification with Llms
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region11 pages, 3 ...
Chen Huang, Guoxiu He
openaire +2 more sources
Research on the internal influence factors of the text multi-classification problem
MATEC Web of Conferences, 2018 This paper mainly deals with the classification of text type data. The statistics show that more than 8000 articles have been reached in all kinds of documents retrieved by the optical network. However, there are few papers on the factors that affect the
Mingqiang Wu, Chang Furong, Zhang Kui
doaj +1 more source
Six-Granularity Based Chinese Short Text Classification
IEEE Access, 2023 Short text classification is an important task in Natural Language Processing (NLP). The classification result for Chinese short text is always not ideal due to the sparsity problem of them.
Xinjie Sun, Zhifang Liu, Xingying Huo
doaj +1 more source
Primitive spaces of matrices with upper rank two over the field with two elements
, 2015 For fields with more than $2$ elements, the classification of the vector spaces of matrices with rank at most $2$ is already known. In this work, we complete that classification for the field $\mathbb{F}_2$.
Pazzis, Clément de Seguins
core +3 more sources
Supervised Text Classification using Text Search
CoRR, 2020 Supervised text classification is a classical and active area of ML research. In large enterprise, solutions to this problem has significant importance. This is specifically true in ticketing systems where prediction of the type and subtype of tickets given new incoming ticket text to find out optimal routing is a multi billion dollar industry. In this
Nabarun Mondal, Mrunal Lohia
openaire +2 more sources
Key technology research and model validation of text classification system based on deep learning
Dianxin kexue, 2018 Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification ...
Shaomin WANG, Di YANG, Hua REN
doaj +2 more sources
Polyseme-Aware Vector Representation for Text Classification
IEEE Access, 2020 Representation models for text classification have recently shown impressive performance. However, these models neglect the importance of polysemous words in text.
Shun Guo, Nianmin Yao
doaj +1 more source
Text Classification with Novelty Detection
CoRR, 2020 This paper studies the problem of detecting novel or unexpected instances in text classification. In traditional text classification, the classes appeared in testing must have been seen in training. However, in many applications, this is not the case because in testing, we may see unexpected instances that are not from any of the training classes.
Qi Qin, Wenpeng Hu, Bing Liu 0001
openaire +2 more sources