SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment

MaurĂ­cio Gruppi, Sibel Adali, Pin-Yu Chen. SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. pages 13170-13172, AAAI Press, 2022. [doi]

@inproceedings{GruppiAC22,
  title = {SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment},
  author = {MaurĂ­cio Gruppi and Sibel Adali and Pin-Yu Chen},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/21717},
  researchr = {https://researchr.org/publication/GruppiAC22},
  cites = {0},
  citedby = {0},
  pages = {13170-13172},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
  publisher = {AAAI Press},
  isbn = {978-1-57735-876-3},
}