Papers for Relevance Assessment by Davide Fossati

Research Question: How can a Natural Language Generation system be evaluated?

Paper ID
(Link to PDF)

Title

Author(s)

W01-0815

Evaluating Text Quality: Judging Output Texts Without a Clear Source

Hartley, Anthony; Scott, Donia

J98-3001

Introduction to the Special Issue on Natural Language Generation

Robert Dale; Donia Scott

H94-1019

AUTOMATIC EVALUATION OF COMPUTER GENERATED TEXT: A PROGRESS REPORT ON THE TEXTEVAL PROJECT

Chris Brew; Henry S. Thompson

W96-0412

An Evaluation of Anaphor Generation in Chinese

Ching-Long Yeh

W00-1440

Discussion Panel on Evaluation in Generation Research

Inderjeet Mani

W98-1429

SYSTEM DEMONSTRATION NATURAL LANGUAGE GENERATION WITH ABSTRACT MACHINE

Evgeniy Gabrilovich; Nissirn Francez; Shuly Wintner

W01-0801

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

Rambow, Owen

W00-1401

Evaluation Metrics for Generation

Srinivas Bangalore; Owen Rambow; Steve Whittaker

chambers

Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator

Nathanael Chambers and James Allen

chambers

Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator

Nathanael Chambers and James Allen

W00-1402

A Task-based Framework to Evaluate Evaluative Arguments

Giuseppe Carenini

P01-1056

Evaluating a Trainable Sentence Planner for a Spoken Dialogue System

Owen Rambow; Monica Rogati; Marilyn A. Walker

W02-1713

XtraGen - A Natural Language Generation System Using XML- and Java-Technologies

Holger Stenzhorn

W01-0808

Multilingual Sentence Generation

Aikawa, Takako; Melero, Maite; Schwartz, Lee; Wu, Andi

W03-1016

Statistical Acquisition of Content Selection Rules for Natural Language Generation

Pablo Ariel Duboue; Kathleen R McKeown