• An Unsolicited Soliloquy on Dependency Parsing 

      Anderson, Mark (2021)
      [Abstract] This thesis presents work on dependency parsing covering two distinct lines of research. The first aims to develop efficient parsers so that they can be fast enough to parse large amounts of data while still ...
    • Artificially Evolved Chunks for Morphosyntactic Analysis 

      Anderson, Mark; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-08)
      [Absctract]: We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks, namely POS tagging, ...
    • Parsing linearizations appreciate PoS tags - but some are fussy about errors 

      Muñoz-Ortiz, Alberto; Anderson, Mark; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2022-11)
      [Absctract]: 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 tags on graph- and ...
    • The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance 

      Anderson, Mark; Gómez-Rodríguez, Carlos (The MIT Press, 2022)
      [Abstract] 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 directed distance of edges) seen in ...