Improving Word Embeddings for Low Frequency Words by Pseudo Contexts

Fang Li, Xiaojie Wang. Improving Word Embeddings for Low Frequency Words by Pseudo Contexts. 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 37-47, Springer, 2017. [doi]

@inproceedings{LiW17-34,
  title = {Improving Word Embeddings for Low Frequency Words by Pseudo Contexts},
  author = {Fang Li and Xiaojie Wang},
  year = {2017},
  doi = {10.1007/978-3-319-69005-6_4},
  url = {https://doi.org/10.1007/978-3-319-69005-6_4},
  researchr = {https://researchr.org/publication/LiW17-34},
  cites = {0},
  citedby = {0},
  pages = {37-47},
  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},
}