Lingua e Sociedade da Información (Language in the Information Society) (LYS): Envíos recentes
Mostrando ítems 26-30 de 122
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Sequence Labeling Parsing by Learning across Representations
(Association for Computational Linguistics, 2019-07)[Absctract]: We use parsing as sequence labeling as a common framework to learn across constituency and dependency syntactic abstractions. To do so, we cast the problem as multitask learning (MTL). First, we show that ... -
Towards Making a Dependency Parser See
(Association for Computational Linguistics, 2019-11)[Absctract]: We explore whether it is possible to leverage eye-tracking data in an RNN dependency parser (for English) when such information is only available during training - i.e. no aggregated or token-level gaze features ... -
Artificially Evolved Chunks for Morphosyntactic Analysis
(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, ... -
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing
(INCOMA Ltd., 2021-09)[Absctract]: Different linearizations have been proposed to cast dependency parsing as sequence labeling and solve the task as: (i) a head selection problem, (ii) finding a representation of the token arcs as bracket ... -
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 ...
