CMU Multilingual NLP - Dependency Parsing
Explore dependency parsing, its applications, and cross-lingual methods in this lecture from CMU's Multilingual Natural Language Processing course. Delve into linguistic structure types, Universal Dependencies Treebank, and techniques for adding inductive bias to neural models. Examine practical applications like extracting morphological agreement rules and analyzing linguistic phenomena in film scripts. Learn about arc standard shift-reduce parsing, graph-based dependency parsing, and the Chu-Liu-Edmonds algorithm. Discover sequence model feature extractors and biaffine classifiers for parsing tasks. Address challenges in multilingual dependency parsing through order-insensitive encoders, generative model fine-tuning, and linguistically informed constraints. Gain insights into improving cross-lingual transfer and handling structural differences between languages.