Papers for Relevance Assessment by Brian Roark

Research Question: What sorts of features are possible given a parse tree of an ASR hypothesis?

Paper ID
(Link to PDF)

Title

Author(s)

W03-0403

Active learning for HPSG parse selection

Jason Baldridge; Miles Osborne

W97-0615

Filtering Errors and Repairing Linguistic Anomalies for Spoken Dialogue Systems

David Roussel; Ariane Halbert

C02-1143

Simple Features for Chinese Word Sense Disambiguation

Hoa Trang Dang; Ching-yi Chia; Martha Palmer; Fu-Dong Chiou

W05-0409

Studying Feature Generation from Various Data Representations for Answer Extraction

Dan Shen; Geert-Jan M. Kruijff; Dietrich Klakow

P00-1065

Automatic Labeling of Semantic Roles

Daniel Gildea; Daniel Jurafsky

W05-0636

Joint Parsing and Semantic Role Labeling

Charles Sutton; Andrew McCallum

C02-1112

Syntactic Features for High Precision Word Sense Disambiguation

David Martinez; Eneko Agirre; Lluis Marquez

P03-1002

Using Predicate-Argument Structures for Information Extraction

Mihai Surdeanu; Sanda Harabagiu; John Williams; Paul Aarseth

H94-1052

Decision Tree Parsing using a Hidden Derivation Model

E Jelinek; J. Lafferty; D. Magerman; R. Mercer; A. Ratnaparkhi; S. Roukos

W05-0624

Sparse Bayesian Classification of Predicate Arguments

Richard Johansson; Pierre Nugues

J99-3003

Vector-based Natural Language Call Routing

Jennifer Chu-Carroll; Bob Carpenter

hema

Using Soundex Codes for Indexing Names in ASR Documents

Hema Raghavan and James Allan

W05-0623

A Joint Model for Semantic Role Labeling

Aria Haghighi; Kristina Toutanova; Christopher Manning

P03-1040

Feature-Rich Statistical Translation of Noun Phrases

Philipp Koehn; Kevin Knight

W03-1006

Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments

John Chen; Owen Rambow