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cs.CL2022
Parsing linearizations appreciate PoS tags - but some are fussy about errors
Alberto Muñoz-Ortiz, Mark Anderson, David Vilares +1
PoS tags, once taken for granted as a useful resource for syntactic parsing, have become more situational with the popularization of deep learning. Recent work on the impact of PoS…
cs.CL2022
The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance
Mark Anderson, Carlos Gómez-Rodríguez
We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the direct…
cs.CL2022
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Mark Anderson, Jose Camacho-Collados
The increase in performance in NLP due to the prevalence of distributional models and deep learning has brought with it a reciprocal decrease in interpretability. This has spurred…