Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment

Yechun Tang, Xiaoxia Cheng, Weiming Lu 0001. Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment. 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 137-147, Association for Computational Linguistics, 2022. [doi]

@inproceedings{TangC022,
  title = {Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment},
  author = {Yechun Tang and Xiaoxia Cheng and Weiming Lu 0001},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.10},
  researchr = {https://researchr.org/publication/TangC022},
  cites = {0},
  citedby = {0},
  pages = {137-147},
  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},
}