Results 11 to 20 of about 43,976,399 (299)
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information [PDF]
Frontiers in Genetics, 2023 With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category.
Daniel Voskergian +3 more
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Federated Learning for Short Text Clustering [PDF]
CoRR, 2023 Short text clustering has been popularly studied for its significance in mining valuable insights from many short texts. In this paper, we focus on the federated short text clustering (FSTC) problem, i.e., clustering short texts that are distributed in different clients, which is a realistic problem under privacy requirements.
Mengling Hu +4 more
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Transformers are Short-Text Classifiers
, 2023 International audienceShort text classification is a crucial and challenging aspect of Natural Language Processing. For this reason, there are numerous highly specialized short text classifiers.
Fabian Karl 0001, Ansgar Scherp
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Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
Applied Sciences, 2023 In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analytics ...
Zaira Hassan Amur +4 more
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Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis [PDF]
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
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Representation Learning for Short Text Clustering [PDF]
, 2021 To be published in 22nd International Conference on Web Information Systems Engineering (WISE2021)
Hui Yin +4 more
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Learning-based short text compression using BERT models [PDF]
PeerJ Computer ScienceLearning-based data compression methods have gained significant attention in recent years. Although these methods achieve higher compression ratios compared to traditional techniques, their slow processing times make them less suitable for compressing ...
Emir Öztürk, Altan Mesut
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Medical short text classification via Soft Prompt-tuning [PDF]
Frontiers in MedicineIn recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research.
Xiao Xiao +4 more
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A New Method for Short Text Compression
IEEE Access, 2023 Short texts cannot be compressed effectively with general-purpose compression methods. Methods developed to compress short texts often use static dictionaries.
Murat Aslanyurek, Altan Mesut
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A Hybrid Model with New Word Weighting for Fast Filtering Spam Short Texts
Sensors, 2023 Short message services (SMS), microblogging tools, instant message apps, and commercial websites produce numerous short text messages every day. These short text messages are usually guaranteed to reach mass audience with low cost.
Tian Xia +3 more
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