Autor:	Alonso, Héctor Martínez, Agić, Željko, Plank, Barbara, Søgaard, Anders
Rok vydání:	2017
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step decoding to guarantee that function words are attached as leaf nodes. The parser requires no training, and it is competitive with a delexicalized transfer system. UDP offers a linguistically sound unsupervised alternative to cross-lingual parsing for UD, which can be used as a baseline for such systems. The parser has very few parameters and is distinctly robust to domain change across languages. Comment: EACL 2017, 8+2 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1701.03163 Zobrazit plný text záznamu View this record from Arxiv