A Fast and Effective Framework for Lifelong Topic Model with Self-learning Knowledge

Kang Xu, Feng Liu, Tianxing Wu, Sheng Bi, Guilin Qi. A Fast and Effective Framework for Lifelong Topic Model with Self-learning Knowledge. In Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong, editors, Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings. Volume 10565 of Lecture Notes in Computer Science, pages 147-158, Springer, 2017. [doi]

@inproceedings{XuLWBQ17,
  title = {A Fast and Effective Framework for Lifelong Topic Model with Self-learning Knowledge},
  author = {Kang Xu and Feng Liu and Tianxing Wu and Sheng Bi and Guilin Qi},
  year = {2017},
  doi = {10.1007/978-3-319-69005-6_13},
  url = {https://doi.org/10.1007/978-3-319-69005-6_13},
  researchr = {https://researchr.org/publication/XuLWBQ17},
  cites = {0},
  citedby = {0},
  pages = {147-158},
  booktitle = {Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings},
  editor = {Maosong Sun and Xiaojie Wang and Baobao Chang and Deyi Xiong},
  volume = {10565},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-69005-6},
}