Incremental processing is relevant for language modeling, speech recognition and language generation. In this paper we devise a dynamic version of Tree Adjoining Grammar (DVTAG) th...
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
We present a discourse-level Tree Adjoining Grammar which tightly integrates syntax and discourse levels, including a representation for discourse entities. We show that this tech...
This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
Machine-produced text often lacks grammaticality and fluency. This paper studies grammaticality improvement using a syntax-based algorithm based on CCG. The goal of the search pr...