activity
20192022
collaborators

7 papers

cs.CL2022

Exact Paired-Permutation Testing for Structured Test Statistics

Ran Zmigrod, Tim Vieira, Ryan Cotterell

Significance testing -- especially the paired-permutation test -- has played a vital role in developing NLP systems to provide confidence that the difference in performance between…

cs.CL2021

On Finding the -best Non-projective Dependency Trees

Ran Zmigrod, Tim Vieira, Ryan Cotterell

The connection between the maximum spanning tree in a directed graph and the best dependency tree of a sentence has been exploited by the NLP community. However, for many dependenc…

cs.CL2020

Please Mind the Root: Decoding Arborescences for Dependency Parsing

Ran Zmigrod, Tim Vieira, Ryan Cotterell

The connection between dependency trees and spanning trees is exploited by the NLP community to train and to decode graph-based dependency parsers. However, the NLP literature has…

cs.CL2020

Efficient Computation of Expectations under Spanning Tree Distributions

Ran Zmigrod, Tim Vieira, Ryan Cotterell

We give a general framework for inference in spanning tree models. We propose unified algorithms for the important cases of first-order expectations and second-order expectations i…

cs.CL2020

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

Ekaterina Vylomova, Jennifer White, Elizabeth Salesky +25

A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from…

cs.CL2020

Information-Theoretic Probing for Linguistic Structure

Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay +3

The success of neural networks on a diverse set of NLP tasks has led researchers to question how much these networks actually ``know'' about natural language. Probes are a natural…