Projects per year
summarization; and (4) Language modelling. We also discuss the strengths and weaknesses of these different methods and speech features. Overall, supervised methods (e.g. Hidden Markov support vector machines, Ranking support vector machines, Conditional random fields) performed better than unsupervised methods. As supervised methods require manually annotated training data which can be costly, there was more interest in unsupervised methods. Recent
research into unsupervised methods focusses on extending language modelling, for example by combining Uni-gram modelling with deep neural networks. This review does not include recent work in deep learning.
- Speech summarization
- Spontaneous speech
- Automatic speech recognition
- Extractive summarization
- Abstractive summarization
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1/11/14 → …
Coiera, E., Glasziou, P., Hansen, D., Magrabi, F., Sintchenko, V., Verspoor, K., Gallego-Luxan, B., Lau, A., Dunn, A., Longhurst, C., Tsafnat, G., Cutler, H., Makeham, M., Shaw, T., Shah, N., Runciman, W. & Liaw, S. T.
1/01/18 → 31/12/22