This paper presents a deterministic parsing algorithm for projective dependency grammar.
The running time of the algorithm is linear in the length of the input string, and the …

This article presents an algorithm for translating the Penn Treebank into a corpus of
Combinatory Categorial Grammar (CCG) derivations augmented with local and long-range …

This article describes a number of log-linear parsing models for an automatically extracted
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …

Machine learning based on various forms of inductive inference has been used for a wide
range of problems in natural language processing, with syntactic parsing being one of the …

This book is about one of the most intriguing features of human communication systems: the
fact that words that go together in meaning can occur arbitrarily far away from each other. In …

This paper introduces a new parser evaluation corpus containing around 700 sentences
annotated with unbounded dependencies, from seven different grammatical constructions …

This paper describes the development of QuestionBank, a corpus of 4000 parse-annotated
questions for (i) use in training parsers employed in QA, and (ii) evaluation of question …

This article describes the application of computational models of spatial prepositions to
visually situated dialog systems. In these dialogs, spatial prepositions are important because …

This thesis takes up the problem of syntactic comprehension, or parsing—how an agent
(human or machine) with knowledge of a specific language goes about inferring the …

This thesis proposes a robust, hybrid, deep-syntatic dependency-based parsing architecture
and presents its implementation and evaluation. The architecture and the implementation …