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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez, Tianze Shi, Lillian Lee
Shi, Huang, and Lee (2017) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based depende…
Quantifying the visual concreteness of words and topics in multimodal datasets
Jack Hessel, David Mimno, Lillian Lee
Multimodal machine learning algorithms aim to learn visual-textual correspondences. Previous work suggests that concepts with concrete visual manifestations may be easier to learn…
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
Tianze Shi, Carlos Gómez-Rodríguez, Lillian Lee
We generalize Cohen, Gómez-Rodríguez, and Satta's (2011) parser to a family of non-projective transition-based dependency parsers allowing polynomial-time exact inference. This inc…