Results 31 to 40 of about 3,577,614 (332)
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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A simultaneous search for prompt radio emission associated with the short GRB 170112A using the all-sky imaging capability of the OVRO-LWA [PDF]
, 2017 We have conducted the most sensitive low frequency (below 100 MHz) search to date for prompt, low-frequency radio emission associated with short-duration gamma-ray bursts (GRBs), using the Owens Valley Radio Observatory Long Wavelength Array (OVRO-LWA ...
Anderson, Marin M. +12 more
core +3 more sources
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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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
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Sentiment Analysis of Short Informal Texts
Journal of Artificial Intelligence Research, 2014 We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word or a phrase within a message (term-level task). The system is based on a supervised statistical text classification approach leveraging a variety of ...
Kiritchenko, Svetlana +2 more
openaire +3 more sources
Neural Responding Machine for Short-Text Conversation
, 2015 We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation. NRM takes the general encoder-decoder framework: it formalizes the generation of response as a decoding process based on the latent ...
Li, Hang, Lu, Zhengdong, Shang, Lifeng
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The effect of WWW document structure on students' information retrieval [PDF]
, 1998 This experiment investigated the effect the structure of a WWW document has on the amount of information retained by a reader. Three structures common on the Internet were tested: one long page; a table of contents leading to individual sections; and ...
Brown, I
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Weakly supervised text classification on free-text comments in patient-reported outcome measures
Frontiers in Digital HealthBackgroundFree-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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Trending Topic Extraction Using Topic Models and Biterm Discrimination
CLEI Electronic Journal, 2017 : Mining and exploitation of data in social networks has been the focus of many efforts, but despite the resources and energy invested, still remains a lot for doing given its complexity, which requires the adoption of a multidisciplinary approach ...
Minor Eduardo Quesada Grosso +2 more
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