Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences

El Moatez Billah Nagoudi, Jérémy Ferrero, Didier Schwab, Hadda Cherroun. Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences. In Abdelmonaime Lachkar, Karim Bouzoubaa, Azzeddine Mazroui, Abdelfettah Hamdani, Abdelhak Lekhouaja, editors, Arabic Language Processing: From Theory to Practice - 6th International Conference, ICALP 2017, Fez, Morocco, October 11-12, 2017, Proceedings. Volume 782 of Communications in Computer and Information Science, pages 19-33, Springer, 2017. [doi]

@inproceedings{NagoudiFSC17,
  title = {Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences},
  author = {El Moatez Billah Nagoudi and Jérémy Ferrero and Didier Schwab and Hadda Cherroun},
  year = {2017},
  doi = {10.1007/978-3-319-73500-9_2},
  url = {https://doi.org/10.1007/978-3-319-73500-9_2},
  researchr = {https://researchr.org/publication/NagoudiFSC17},
  cites = {0},
  citedby = {0},
  pages = {19-33},
  booktitle = {Arabic Language Processing: From Theory to Practice - 6th International Conference, ICALP 2017, Fez, Morocco, October 11-12, 2017, Proceedings},
  editor = {Abdelmonaime Lachkar and Karim Bouzoubaa and Azzeddine Mazroui and Abdelfettah Hamdani and Abdelhak Lekhouaja},
  volume = {782},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-73500-9},
}