1. Chen K, Zhang Z, Long J, Zhang H (2016) Turning from TF-IDF to TF-IGM for term weighting in text classification. Expert Syst Appl 66:245–260. https://doi.org/10.1016/j.eswa.2016.09.009
2. Denkowski MJ, Lavie A (2011) Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems. In: Callison-Burch C, Koehn P, Monz C, Zaidan O (eds) Proceedings of the sixth workshop on statistical machine translation, WMT@EMNLP 2011. https://aclanthology.org/W11-2107/. Association for Computational Linguistics, Edinburgh, pp 85–91
3. Dinan E, Roller S, Shuster K, Fan A, Auli M, Weston J (2019) Wizard of wikipedia: Knowledge-powered conversational agents. In: 7th International conference on learning representations, ICLR 2019. https://openreview.net/forum?id=r1l73iRqKm. OpenReview.net, New Orleans
4. Dong L, Yang N, Wang W, Wei F, Liu X, Wang Y, Gao J, Zhou M, Hon H (2019) Unified language model pre-training for natural language understanding and generation. In: Wallach HM, Larochelle H, Beygelzimer A, D’Alché-Buc F, Fox EB, Garnett R (eds) Advances in neural information processing systems 32: Annual conference on neural information processing systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, pp 13,042–13,054. https://proceedings.neurips.cc/paper/2019/hash/c20bb2d9a50d5ac1f713f8b34d9aac5a-Abstract.html
5. Feng S, Wan H, Gunasekara RC, Patel SS, Joshi S, Lastras LA (2020) Doc2dial: a goal-oriented document-grounded dialogue dataset. In: Webber B, Cohn T, He Y, Liu Y (eds) Proceedings of the 2020 conference on empirical methods in natural language processing, EMNLP 2020, Online, November 16-20, 2020. Association for Computational Linguistics, pp 8118–8128, https://doi.org/10.18653/v1/2020.emnlp-main.652