Results 11 to 20 of about 195,991 (305)
Testing network clustering algorithms with natural language processing. [PDF]
Front Artif IntellAchitouv I, Chavalarias D, Gaume B.
europepmc +3 more sources
Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]
Genomics & Informatics, 2020 This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim +44 more
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Attention in Natural Language Processing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview of attention is still missing.
Andrea Galassi +2 more
openaire +3 more sources
Computational Linguistics, 2021 Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex ...
DongHyun Choi +3 more
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Performance Study of N-grams in the Analysis of Sentiments
Journal of Nigerian Society of Physical Sciences, 2021 In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo +3 more
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Intersections, 2023 Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outside of sociology, while the expertise of sociology has been based on its own methods of research.
Wang He, Peng Liu, Qian Qian
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Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
Politics and Governance, 2020 This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora.
Sebastian Haunss +6 more
doaj +1 more source
Body like an idol: K-pop fitspiration on Tumblr – an analysis of texts and images
Finnish Journal of eHealth and eWelfare, 2023 Eating disorders are a major health issue in societies today which oftentimes remain untreated. In social media, such as Tumblr, people build communities to exchange information and connect to each other using specific hashtags.
Linda Achilles +2 more
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Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing
Journal of ICT Research and Applications, 2023 Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese.
Win Lai Lai Phyu +2 more
doaj +1 more source
Applied Sciences, 2023 The role played by science and technology parks (STPs) in technology transfer, industrial innovation, and economic growth is examined in this paper. The accurate monitoring of their evolution and impact is hindered by the lack of uniformity in STP models
Olga Francés +4 more
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