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Sequence Labeling using Conditional Random Fields
2017
International Journal of u- and e- Service, Science and Technology
The aim of this paper is to get some experience with sequence labeling, specifically, assigning tags or labels to each member in the sequences of utterances in conversations from a corpus. Since nowadays predicting single class label or tag is not adequate. Predicting large number of variables that depends on each other is required. In sequence labeling it is often beneficial to optimize the tags assigned to the sequence as a whole rather than treating each tag decision separately. A machine
doi:10.14257/ijunesst.2017.10.9.10
fatcat:pofo2sdqazgfjgt3bvnsn5ibmi