Parsing of Czech: Between Rules and Stats

​IA161 NLP in Practice Course, Course Guarantee: Aleš Horák

Prepared by: Miloš Jakubíček, Aleš Horák

State of the Art

References

1. Fernández-González, D., & Gómez-Rodríguez, C. (2023). Dependency parsing with bottom-up hierarchical pointer networks. Information Fusion, 91, 494-503.
2. Arps, D., Samih, Y., Kallmeyer, L., & Sajjad, H. (2022). Probing for constituency structure in neural language models. arXiv preprint arXiv:2204.06201.
3. Qi, P., Dozat, T., Zhang, Y., & Manning, C. D. (2019). Universal dependency parsing from scratch. arXiv preprint arXiv:1901.10457.
4. Baisa, V. and Kovář, V. (2014). Information extraction for Czech based on syntactic analysis. In Vetulani, Z. and Mariani, J., editors,Human Language Technology Challenges for Computer Science and Linguistics, pages 155–165. Springer International Publishing.

Practical Session

We will develop/adjust the grammar of the SET parser (for English or Czech).

Open ​Google Colab notebook IA161-ParsingCzech.ipynb and follow the text and code in it.

Upload the resulting grammar file with improved UAS to the homework vault