NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu. NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. In Ellen Riloff, David Chiang 0001, Julia Hockenmaier, Jun'ichi Tsujii, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. pages 4482-4491, Association for Computational Linguistics, 2018. [doi]

@inproceedings{LiSHWHYSX18,
  title = {NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval},
  author = {Canjia Li and Yingfei Sun and Ben He and Le Wang and Kai Hui and Andrew Yates and Le Sun and Jungang Xu},
  year = {2018},
  url = {https://aclanthology.info/papers/D18-1478/d18-1478},
  researchr = {https://researchr.org/publication/LiSHWHYSX18},
  cites = {0},
  citedby = {0},
  pages = {4482-4491},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018},
  editor = {Ellen Riloff and David Chiang 0001 and Julia Hockenmaier and Jun'ichi Tsujii},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-84-1},
}