1. Baroni, M., Lenci, A.: How we BLESSed distributional semantic evaluation. In: Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, pp. 1–10. Association for Computational Linguistics (2011). http://aclweb.org/anthology/W11-2501
2. Chollampatt, S., Taghipour, K., Ng, H.T.: Neural network translation models for grammatical error correction. In: Proceedings of 25th International Joint Conference on Artificial Intelligence, pp. 2768–2774 (2016). http://www.ijcai.org/Proceedings/16/Papers/393.pdf
3. Hamilton, W.L., Leskovec, J., Jurafsky, D.: Diachronic word embeddings reveal statistical laws of semantic change. In: Proceeings of 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1489–1501 (2016). http://www.aclweb.org/anthology/P16-1141
4. Han, N.R., Chodorow, M., Leacock, C.: Detecting errors in English article usage by non-native speakers. Nat. Lang. Eng. 12(2), 115–129 (2006)
5. Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997). https://doi.org/10.1162/neco.1997.9.8.1735