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Using Transfer Learning for Detecting Drug Mentions in Tweets
2020Drug mention detection in tweets is defined as a binary classification task that aims to distinguish tweets that mention a drug from those which do not. In our work, we aim to use transfer learning for automatic classification of tweets mentioning a drug.
Laiba Mehnaz, Rajni Jindal
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Detection of Publicity Mentions in Broadcast Radio: Preliminary Results
2016The advertising mentions are publicity contents that are not prerecorded, usually are said by radio or TV broadcasters to publicize a product or a company. The main difficulty of detecting advertising mentions is that the audio is not exactly repeated every time, as happens with conventional prerecorded advertising where more efficient techniques such ...
María Pilar Fernández-Gallego +3 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Detecting Intuitive Mentions of Diseases in Narrative Clinical Text
2009A significant portion of the clinical information content of narrative text documents in the medical record is only mentioned intuitively, but automated information extraction systems typically focus on explicitly mentioned concepts only. To extend the extraction of clinical information to intuitively mentioned diseases, we have developed a natural ...
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TwiCS: Twitter Stream Entity Mention Detection (Extended Abstract)
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022Satadisha Saha Bhowmick +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly
Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
exaly