Parse Me if You Can: Artificial Treebanks for Parsing Experiments on Elliptical Constructions
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing
We evaluate the efficacy of predicted UPOS tags as input features for dependency parsers in lower resource settings to evaluate how treebank size affects the impact tagging accuracy has on parsing performance. We do this…
Multi-lingual Dependency Parsing Evaluation: a Large-scale Analysis of Word Order Properties using Artificial Data
The growing work in multi-lingual parsing faces the challenge of fair comparative evaluation and performance analysis across languages and their treebanks. The difficulty lies in teasing apart the properties of treebanks…
Dependency ParsingSentenceGlobal Greedy Dependency Parsing
Most syntactic dependency parsing models may fall into one of two categories: transition- and graph-based models. The former models enjoy high inference efficiency with linear time complexity, but they rely on the stacki…
ARCDependency ParsingRe-RankingSentenceCross-lingual Inflection as a Data Augmentation Method for Parsing
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 cross-lingual (x-i…
Data AugmentationDependency ParsingDelexicalized transfer parsing for low-resource languages using transformed and combined treebanks
This paper describes our dependency parsing system in CoNLL-2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies. We primarily focus on the low-resource languages (surprise languages). We have…
Cross-Lingual TransferDependency ParsingMachine TranslationQuestion Answering+1