PhoDisfluency is a dataset for Vietnamese disfluency detection task, consisting of about 6K Vietnamese utterances with nearly 14K manual annotations over two disfluency types (Reparandum and Interregnum). The construction of PhoDisfluency and experimental results can be found in our WNUT 2022 paper:
@inproceedings{PhoDisfluency,
title = {{Disfluency Detection for Vietnamese}},
author = {Mai Hoang Dao and Thinh Hung Truong and Dat Quoc Nguyen},
booktitle = {Proceedings of the 8th Workshop on Noisy User-generated Text (WNUT)},
year = {2022}
}
By downloading the PhoDisfluency dataset, USER agrees:
- to use PhoDisfluency for research or educational purposes only.
- to not distribute PhoDisfluency or part of PhoDisfluency in any original or modified form.
- and to cite our WNUT 2022 paper above whenever PhoDisfluency is employed to help produce published results.
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