Results 11 to 20 of about 31,930 (259)
Retrieval-augmented Multi-label Text Classification
CoRR, 2023 Multi-label text classification (MLC) is a challenging task in settings of large label sets, where label support follows a Zipfian distribution. In this paper, we address this problem through retrieval augmentation, aiming to improve the sample efficiency of classification models.
Ilias Chalkidis, Yova Kementchedjhieva
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Correlation-Guided Representation for Multi-Label Text Classification [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Multi-label text classification is an essential task in natural language processing. Existing multi-label classification models generally consider labels as categorical variables and ignore the exploitation of label semantics. In this paper, we view the task as a correlation-guided text representation problem: an attention-based two-step framework is ...
Qian-Wen Zhang +5 more
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Multi-label Text Classification for Public Procurement in Spanish
Proces. del Leng. Natural, 2022 This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V ...
Navas Loro, María +2 more
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Ensemble-based Methods for Multi-label Classification on Biomedical Question-Answer Data
Journal of Information Systems Engineering and Business Intelligence, 2022 Background: Question-answer (QA) is a popular method to seek health-related information and biomedical data. Such questions can refer to more than one medical entity (multi-label) so determining the correct tags is not easy.
Abid Famasya Abdillah +4 more
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Efficient classification of multi-labeled text streams by clashing [PDF]
Expert Systems with Applications, 2014 We present a method for the classification of multi-labelled text documents explicitly designed for data stream applications that require to process a virtually infinite sequence of data using constant memory and constant processing time. Our method is composed of an online procedure used to efficiently map text into a low-dimensional feature space and
Ricardo Ñanculef +2 more
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Multi-label dataless text classification with topic modeling [PDF]
Knowledge and Information Systems, 2018 Manually labeling documents is tedious and expensive, but it is essential for training a traditional text classifier. In recent years, a few dataless text classification techniques have been proposed to address this problem. However, existing works mainly center on single-label classification problems, that is, each document is restricted to belonging ...
Daochen Zha, Chenliang Li 0005
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Survey of Multi-label Classification Based on Supervised and Semi-supervised Learning [PDF]
Jisuanji kexue, 2022 Most of the traditional multi-label classification algorithms use supervised learning,but in real life,there are many unlabeled data.Manual tagging of all required data is costly.Semi-supervised learning algorithms can work with a large amount of ...
WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
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MsCoa: Multi-Step Co-Attention Model for Multi-Label Classification
IEEE Access, 2019 Multi-label text classification (MLC) task, as one of the sub-tasks of natural language processing, has broad application prospects. On the basis of studying the previous research work, this research takes the relationship among text information, leading
Haoyang Ma +4 more
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Big Earth Data, 2021 Without explicit description of map application themes, it is difficult for users to discover desired map resources from massive online Web Map Services (WMS).
Zhengyang Wei +7 more
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A Combined Approach for Multi-Label Text Data Classification
Computational Intelligence and Neuroscience, 2022 Automated data analysis solutions are very dependent on data and its quality. The possibility of assigning more than one class to the same data item is one of the specificities that need to be taken into account. There are no solutions, dedicated to Lithuanian text data classification that helps to assign more than one class to data item. In this paper,
Rokas Štrimaitis +3 more
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