Papers for Relevance Assessment by Mirella Lapata

Research Question: How can we develop a content selection module for natural language generation without manual intervention?

Paper ID
(Link to PDF)

Title

Author(s)

A92-1009

Automatic Generation of On-Line Documentation in the IDAS Project

Ehud Reiter; Chris Mellish; John Levine

W00-1429

Knowledge Acquisition for Natural Language Generation

Ehud Reiter; Roma Robertson; Liesl Osman

P00-1041

Headline Generation Based on Statistical Translation

Michele Banko; Vibhu O. Mittal; Michael J. Witbrock

W03-1202

Using Thematic Information in Statistical Headline Generation

Stephen Wan; Mark Dras; Cecile Paris; Robert Dale

W90-0111

Selection: Salience, Relevance and the Coupling between Domain-Level Tasks and Text Planning

T. Pattabhiraman; Nick Cercone

W94-0307

Content and Rhetorical Status Selection in Instructional Texts

Leila Kosseim; Guy Lapalme

W90-0118

Reassessing Rhetorical Abstractions and Planning Mechanisms

Daniel D. Suthers

A92-1007

Automatic Generation of Multimodal Weather Reports from Datasets

Stephan M. Kerpedjiev

W01-0813

Applying Natural Language Generation to Indicative Summarization

Kan, Min-Yeh; McKeown, Kathleen R.; Klavans, Judith L.

W02-1702

Cascading XSL Filters for Content Selection in Multilingual Document Generation

Guillermo Barrutieta; Joseba Abaitua; JosuKa Diaz

W00-1417

Content aggregation in natural language hypertext summarization of OLAP and Data Mining Discoveries

Jacques Robin; Eloi L. Favero

J03-1003

Graph-Based Generation of Referring Expressions

Emiel Krahmer; Sebastiaan van Erk; Andre Verleg

J98-3005

Generating Natural Language Summaries from Multiple On-Line Sources

Dragomir R. Radev; Kathleen R. McKeown

W94-0326

Content Selection and Organization as a Process Involving Compromises

Helmut Horacek

W94-0319

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

Ehud Reiter

P01-1023

Empirically Estimating Order Constraints for Content Planning in Generation

Pablo A. Duboue; Kathleen R. McKeown

167_Paper

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

Regina Barzilay and Lillian Lee

W96-0405

Input Specification in the WAG Sentence Generation System

Michael O'Donnell

A92-1006

Applied Text Generation

Owen Rambow; Tanya Korelsky

P92-1034

USING CLASSIFICATION TO GENERATE TEXT

Ehud Reiter; Chris Mellish