Papers for Relevance Assessment by Mirella Lapata

Research Question: Selecting a method for learning content selection rules

Paper ID
(Link to PDF)

Title

Author(s)

W94-0319

Has a Consensus NL Generation Architecture Appeared, and is it Psycholinguistically Plausible?

Ehud Reiter

C00-1076

Extending a Formal and Computational Model of Rhetorical Structure Theory with Intentional Structures la Grosz and Sidner

Daniel Marcu

P97-1033

Intonational Boundaries, Speech Repairs, and Discourse Markers: Modeling Spoken Dialog

Peter A. Heeman; James F. Allen

167_Paper

Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

Regina Barzilay and Lillian Lee

W03-0403

Active learning for HPSG parse selection

Jason Baldridge; Miles Osborne

W01-0801

Corpus-Based Methods in Natural Language Generation: Friends or Foe? (invited talk)

Rambow, Owen

W03-w2_eacl03dimitrimanolaki.local

Learning to Order Facts for Discourse Planning in Natural Language Generation

A. Dimitrimanolaki and I. Androutsopoulos

4

Grammatical Inference and First Language Acquisition

Alexander Clark

P00-1016

Rule Writing or Annotation: Cost-efficient Resource Usage for Base Noun Phrase Chunking

Grace Ngai; David Yarowsky

167_Paper

Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

Regina Barzilay and Lillian Lee

W94-0111

Exploring the Statistical Derivation of Transformational Rule Sequences for Part-of-Speech Tagging

Lance A. Ramshaw; Mitchell P. Marcus

N03-1031

Example Selection for Bootstrapping Statistical Parsers

Mark Steedman; Rebecca Hwa; Stephen Clark; Miles Osborne; Anoop Sarkar; Julia Hockenmaier; Paul Ruhlen; Steven Baker; Jeremiah Crim

M92-1048

APPENDIX G: FINAL TEST SCORE SUMMARIES

W03-1016

Statistical Acquisition of Content Selection Rules for Natural Language Generation

Pablo Ariel Duboue; Kathleen R McKeown

W00-1429

Knowledge Acquisition for Natural Language Generation

Ehud Reiter; Roma Robertson; Liesl Osman