Unbiased and Efficient Sampling of Dependency Trees

25 May 2022

Papers citing "Unbiased and Efficient Sampling of Dependency Trees"

4 / 4 papers shown

Title
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale Laurent Sartran Samuel Barrett A. Kuncoro Milovs Stanojević Phil Blunsom Chris Dyer 59 50 0 01 Mar 2022
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection Joakim Nivre M. Marneffe Filip Ginter Jan Hajivc Christopher D. Manning S. Pyysalo Sebastian Schuster Francis M. Tyers Daniel Zeman VLM 37 513 0 22 Apr 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 236 1,690 0 16 Mar 2020
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 109 220 0 14 Mar 2019