Pseudo-Relevance for Enhancing Document Representation

Jihyuk Kim, Seung-won Hwang, Seoho Song, Hyeseon Ko, Young-In Song. Pseudo-Relevance for Enhancing Document Representation. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 11639-11652, Association for Computational Linguistics, 2022. [doi]

@inproceedings{KimHSKS22,
  title = {Pseudo-Relevance for Enhancing Document Representation},
  author = {Jihyuk Kim and Seung-won Hwang and Seoho Song and Hyeseon Ko and Young-In Song},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.800},
  researchr = {https://researchr.org/publication/KimHSKS22},
  cites = {0},
  citedby = {0},
  pages = {11639-11652},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}