OpenAIRE: Envíos recentes
Mostrando ítems 11-15 de 289
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Cross-lingual Inflection as a Data Augmentation Method for Parsing
(Association for Computational Linguistics, 2022-05)[Absctract]: We propose a morphology-based method for low-resource (LR) dependency parsing. We train a morphological inflector for target LR languages, and apply it to related rich-resource (RR) treebanks to create ... -
Better, Faster, Stronger Sequence Tagging Constituent Parsers
(Association for Computational Linguistics, 2019-06)[Absctract]: Sequence tagging models for constituent parsing are faster, but less accurate than other types of parsers. In this work, we address the following weaknesses of such constituent parsers: (a) high error rates ... -
HEAD-QA: A Healthcare Dataset for Complex Reasoning
(Association for Computational Linguistics, 2019-07)[Absctract]: We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and ... -
A Unifying Theory of Transition-based and Sequence Labeling Parsing
(International Committee on Computational Linguistics, 2020-12)[Absctract]: We define a mapping from transition-based parsing algorithms that read sentences from left to right to sequence labeling encodings of syntactic trees. This not only establishes a theoretical relation between ... -
Bracketing Encodings for 2-Planar Dependency Parsing
(International Committee on Computational Linguistics, 2020-12)[Absctract]: We present a bracketing-based encoding that can be used to represent any 2-planar dependency tree over a sentence of length n as a sequence of n labels, hence providing almost total coverage of crossing arcs ...