Results 41 to 50 of about 787,502 (308)
Unlabeled Short Text Similarity With LSTM Encoder
IEEE Access, 2019 Short texts play an important role in our daily communication. It has been applied in many fields. In this paper, we propose a novel short text similarity measurement algorithm-based long short-term memory (LSTM) encoder.
Lin Yao, Zhengyu Pan, Huansheng Ning
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Short Text Clustering Algorithms, Application and Challenges: A Survey
Applied Sciences, 2022 The number of online documents has rapidly grown, and with the expansion of the Web, document analysis, or text analysis, has become an essential task for preparing, storing, visualizing and mining documents.
Majid Hameed Ahmed +3 more
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Context Enhanced Short Text Matching using Clickthrough Data [PDF]
arXiv, 2022 The short text matching task employs a model to determine whether two short texts have the same semantic meaning or intent. Existing short text matching models usually rely on the content of short texts which are lack information or missing some key clues. Therefore, the short texts need external knowledge to complete their semantic meaning. To address
arxiv
Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network
IEEE Access, 2020 Entity disambiguation refers to the accurate inference of the real mention of an entity with the same name according to the context. Most existing studies focused on long texts, for short texts, the performance has been unsatisfactory due to sparsity. In
Liting Jiang +4 more
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Federated Learning for Short Text Clustering [PDF]
arXiv, 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.
arxiv
Short Text Classification Using Contextual Analysis
IEEE Access, 2021 Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving.
Sami Al Sulaimani, Andrew Starkey
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Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets [PDF]
arXiv, 2022 Short text classification is a crucial and challenging aspect of Natural Language Processing. For this reason, there are numerous highly specialized short text classifiers. However, in recent short text research, State of the Art (SOTA) methods for traditional text classification, particularly the pure use of Transformers, have been unexploited.
arxiv
Chinese Microblog Topic Detection through POS-Based Semantic Expansion
Information, 2018 A microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following.
Lianhong Ding, Bin Sun, Peng Shi
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TAG RECOMMENDATION FOR SHORT ARABIC TEXT BY USING LATENT SEMANTIC ANALYSIS OF WIKIPEDIA
Jordanian Journal of Computers and Information Technology, 2020 Text tagging has gained a growing attention as a way of associating metadata that supports information retrieval and classification. To resolve the difficulties of manual tagging, tag recommendation has emerged as a solution to assist users in tagging by
Iyad AlAgha, Yousef Abu-Samra
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Study on Short Text Classification with Imperfect Labels [PDF]
Jisuanji kexue, 2023 Short text classification techniques have been widely studied.When these techniques are applied to domain short text forproduction,as textual data accumulates,people often encounter problems mainly in two aspects:the imperfect labels and mistakenly ...
LIANG Haowei, WANG Shi, CAO Cungen
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