Daniel Beck
About
Daniel Beck has authored 21 papers that have received a total of 260 indexed citations.
This includes 19 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. The topics of these papers are Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Machine Learning and Data Classification (5 papers). Daniel Beck is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Machine Learning and Data Classification (5 papers) and collaborates with scholars based in Australia, United Kingdom and Germany. Daniel Beck's co-authors include Trevor Cohn, Lucia Specia, Kashif Shah, Timothy Baldwin and Karin Verspoor and has published in prestigious journals such as NeuroImage, Journal of Biomedical Informatics and Language Resources and Evaluation
In The Last Decade
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