CMU Neural Nets for NLP 2017 - Advanced Search Algorithms

CMU Neural Nets for NLP 2017 - Advanced Search Algorithms

Explore advanced search algorithms for natural language processing in this lecture from CMU's Neural Networks for NLP course. Dive into beam search and A*-type search techniques, examining their benefits, drawbacks, and applications in neural parsing and machine translation. Learn about threshold-based pruning, normalization methods, and strategies for dealing with action disparities. Investigate recent research on continuous relaxation of beam search, global neural CCG parsing, and estimating future costs in search algorithms. Gain insights into effective inference methods for generative neural parsing and approaches for improving beam search in training.