1. Abend O, Rappoport A (2013) Universal conceptual cognitive annotation (UCCA). In: Proceedings of the 51st annual meeting of the association for computational linguistics (Volume 1: Long Papers), pp. 228–238. Association for Computational Linguistics, Sofia, Bulgaria. https://www.aclweb.org/anthology/P13-1023
2. Ballesteros M, Al-Onaizan Y (2017) AMR parsing using stack-LSTMs. In: Proceedings of the 2017 conference on empirical methods in natural language processing, pp. 1269–1275. Association for Computational Linguistics, Copenhagen, Denmark. https://doi.org/10.18653/v1/D17-1130
3. Banarescu L, Bonial C, Cai S, Georgescu M, Griffitt K, Hermjakob U, Knight K, Koehn P, Palmer M, Schneider N (2013) Abstract meaning representation for sembanking. In: Proceedings of the 7th linguistic annotation workshop and interoperability with discourse, pp. 178–186. Association for Computational Linguistics, Sofia, Bulgaria
4. Basile V, Bos J, Evang K, Venhuizen N (2012) Developing a large semantically annotated corpus. In: Proceedings of the eighth international conference on language resources and evaluation (LREC’12), pp. 3196–3200. European Language Resources Association (ELRA), Istanbul, Turkey. http://www.lrec-conf.org/proceedings/lrec2012/pdf/534_Paper.pdf
5. Brandt L, Grimm D, Zhou M, Versley Y (2016) ICL-HD at SemEval-2016 task 8: meaning representation parsing-augmenting AMR parsing with a preposition semantic role labeling neural network. In: Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016), pp. 1160–1166. Association for Computational Linguistics, San Diego, California. https://doi.org/10.18653/v1/S16-1179