1. Bowman, S. R., Angeli, G., Potts, C., and Manning, C. D. (2015). “A Large Annotated Corpus for Learning Natural Language Inference.” In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 632–642.
2. Bunt, H. (2020). “Annotation of Quantification: The Current State of ISO 24617-12.” In Proceedings of the 16th Joint ACL - ISO Workshop on Interoperable Semantic Annotation, pp. 1–12.
3. Cooper, R., Crouch, R., van Eijck, J., Fox, C., van Genabith, J., Jaspers, J., Kamp, H., Pinkal, M., Poesio, M., Pulman, S., et al. (1994). “FraCaS–A Framework for Computational Semantics.” Deliverable, D6.
4. Cui, R., Hershcovich, D., and Søgaard, A. (2022). “Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks.” In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4875–4893.
5. Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol. 1, pp. 4171–4186.