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CNN-LSTM-CRF-for-cQA-answer-tagging

Provide results for CNN+LSTM+CRF for cQA answer tagging by the paper:

http://www.aclweb.org/anthology/C/C16/C16-1117.pdf

It is published in COLING 2016.

The experiments are carried on SemEval 2015 task-3 cQA dataset.

----ARC-I: 58.96 on F1

----ARC-II: 58.29 on F1

The systems can be easily implemented with the help of https://github.com/glample/tagger and the parameter settings described in the coling paper.

Any work compared with this paper, please cite

@inproceedings{Xiang2016Incorporating, title={Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF}, author={Xiang, Yang and Zhou, Xiaoqiang and Chen, Qingcai and Zheng, Zhihui and Wang, Xiaolong and Qin, Yang}, booktitle={COLING}, year={2016}, }

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