1. Amjadian, E., Inkpen, D., Paribakht, T., Faez, F.: Local-Global Vectors to Improve Unigram Terminology Extraction. In: Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016). pp. 2–11 (2016)
2. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877–1901 (2020)
3. Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H.W., Sutton, C., Gehrmann, S., et al.: Palm: Scaling language modeling with pathways. arXiv preprint arXiv:2204.02311 (2022)
4. Damerau, F.J.: Evaluating computer-generated domain-oriented vocabularies. Information processing & management 26(6), 791–801 (1990)
5. El-Kishky, A., Song, Y., Wang, C., Voss, C.R., Han, J.: Scalable topical phrase mining from text corpora. Proc. VLDB Endow. 8(3), 305-316 (nov 2014). https://doi.org/10.14778/2735508.2735519, https://doi.org/10.14778/2735508.2735519