Results 1 to 10 of about 43,976,399 (299)
Efficient Long-Text Understanding with Short-Text Models [PDF]
Transformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific articles, and long documents due to their quadratic complexity. While a myriad of
Maor Ivgi, Uri Shaham, Jonathan Berant
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Heterogeneous Graph Neural Network for Short Text Classification
Aiming at the sparsity of short text features, lack of context, and the inability of word embedding and external knowledge bases to supplement short text information, this paper proposes a text, word and POS tag-based graph convolutional network (TWPGCN)
Bingjie Zhang, Qing He, Damin Zhang
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Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network
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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Unlabeled Short Text Similarity With LSTM Encoder
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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Contextual Topic Modeling of Persian Social Media Short Texts [PDF]
The emergence of social media creates opportunities for users to share their thoughts. Billions of short texts are produced on social media daily, and their analysis in text mining and content analysis is essential. Detecting topics from short texts on a
Zeynab Mottaghinia +1 more
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Weakly supervised text classification on free-text comments in patient-reported outcome measures
BackgroundFree-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using manual methods, such as content analysis, which is labour ...
Anna-Grace Linton +5 more
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Komparasi Term Weighting dan Word Embedding pada Klasifikasi Tweet Pemerintah Daerah
Munculnya media sosial mendorong pemerintah untuk memanfaatkan media sosial sebagai sarana penyebaran informasi. Informasi yang diberikan haruslah bermanfaat bagi masyarakat dalam rangka meningkatkan hubungan government to citizen.
Pande Made Risky Cahya Dinatha +1 more
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Short Text Classification Using Contextual Analysis
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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Six-Granularity Based Chinese Short Text Classification
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
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A New Feature Selection Method for Sentiment Analysis in Short Text
In recent internet era, micro-blogging sites produce enormous amount of short textual information, which appears in the form of opinions or sentiments of users.
Kumar H. M. Keerthi, Harish B. S.
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