On the Embeddings of Variables in Recurrent Neural Networks for Source Code

Nadezhda Chirkova. On the Embeddings of Variables in Recurrent Neural Networks for Source Code. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 2679-2689, Association for Computational Linguistics, 2021. [doi]

@inproceedings{Chirkova21,
  title = {On the Embeddings of Variables in Recurrent Neural Networks for Source Code},
  author = {Nadezhda Chirkova},
  year = {2021},
  url = {https://www.aclweb.org/anthology/2021.naacl-main.213/},
  researchr = {https://researchr.org/publication/Chirkova21},
  cites = {0},
  citedby = {0},
  pages = {2679-2689},
  booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
  editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-46-6},
}