Papers for Relevance Assessment by Robert Swier

Research Question: What is the benefit, if any, of exploiting knowledge contained in verb lexicons for the task of automatically labelling semantic roles?

Paper ID
(Link to PDF)

Title

Author(s)

C02-2011

Semantic Case Role Detection for Information Extraction

Rik De Busser; Roxana Angheluta; Marie-Francine Moens

J04-1003

Verb Class Disambiguation Using Informative Priors

Mirella Lapata; Chris Brew

thompson

Generative models for semantic role labeling

Cynthia Thompson, Siddharth Patwardhan and Carolin Arnold

Xue

Calibrating Features for Semantic Role Labeling

Nianwen Xue and Martha Palmer

W03-0910

Deriving verb-meaning clusters from syntactic structure

Paul Kingsbury; Karin Kipper

186-931

Semantic Role Labeling Using Dependency Trees

Kadri Hacioglu

H01-1010

Automatic Predicate Argument Analysis of the Penn TreeBank

M. Palmer; J. Rosenzweig; S. Cotton

I05-2036

Representing Semantics of Texts - a Non-Statistical Approach

Svetlana Hensman; John Dunnion

lin

Fine-Grained Lexical Semantic Representations and Compositionally-Derived Events in Mandarin Chinese

Jimmy Lin

Pado

The Influence of Argument Structure on Semantic Role Assignment

Sebastian Padó and Gemma Boleda

W91-0217

Acquiring and representing semantic information in a Lexical Knowledge Base

Nicoletta Calzolari

P00-1065

Automatic Labeling of Semantic Roles

Daniel Gildea; Daniel Jurafsky

N03-2022

Semantic Extraction with Wide-Coverage Lexical Resources

Behrang Mohit; Srini Narayanan

kipper

Using prepositions to extend a verb lexicon

Karin Kipper, Benjamin Snyder and Martha Palmer

lim

Semantic Role Labeling using Maximum Entropy Model

Joon-Ho Lim, Young-Sook Hwang, So-Young Park and Hae-Chang Rim