Changes between Version 33 and Version 34 of private/NlpInPracticeCourse/ParsingCzech

Timestamp:

Nov 5, 2023, 9:13:52 PM (6 months ago)

Author:

Ales Horak

Comment:

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private/NlpInPracticeCourse/ParsingCzech

@@ -9 +9 @@
 === References ===
 
- 1. Zhang, Y., Zhou, H., & Li, Z. (2020). Fast and Accurate Neural CRF Constituency Parsing. arXiv preprint arXiv:2008.03736.
+ 1. Fernández-González, D., & Gómez-Rodríguez, C. (2023). Dependency parsing with bottom-up hierarchical pointer networks. Information Fusion, 91, 494-503.
+ 1. Arps, D., Samih, Y., Kallmeyer, L., & Sajjad, H. (2022). Probing for constituency structure in neural language models. arXiv preprint arXiv:2204.06201.
  1. Qi, P., Dozat, T., Zhang, Y., & Manning, C. D. (2019). Universal dependency parsing from scratch. arXiv preprint arXiv:1901.10457.
- 1. Straka, M., Straková, J., & Hajič, J. (2019). Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER. In International Conference on Text, Speech, and Dialogue (pp. 137-150). Springer, Cham.
  1. 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.