Unsupervised Grammar Induction

We investigate prototype-driven learning for pri- marily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each target phrase type. This sparse prototype information …...

Unsupervised grammar induction models tend to employ relatively simple models of syntax when compared to their supervised counter- parts. Traditionally, the unsupervised mod- els have been kept simple due to …...

This paper describes a new method for un- supervised grammar induction based on the automatic extraction of certain pat- terns in the texts. Our starting hypoth- esis is that there …...

Grammar induction is a basic step in natural language processing. Based on the volume of information that is used by different methods, we can distinguish three types of grammar in- …...

We explore the extent to which high- resource manual annotations such as tree- banks are necessary for the task of se- mantic role labeling (SRL). We examine how performance changes …...

AbstractIn unsupervised grammar induction, data likelihood is known to be only weakly correlated with parsing accuracy, especially at convergence after multiple runs. In order to find a better indicator for …...

AbstractIn this paper, we consider the syntactic properties of languages emerged in referential games, using unsupervised grammar induction (UGI) techniques originally designed to analyse natural language. We show that the …...