Semantic annotation for generation: issues in annotating a corpus to develop and evaluate discourse entity realization algorithms

Authors:
Massimo Poesio
Affiliations:
University of Edinburgh
Venue:
Proceedings of the COLING-2000 Workshop on Semantic Annotation and Intelligent Content
Year:
2000

Citing 5
Cited 1

Centering: a framework for modeling the local coherence of discourse

Computational Linguistics
Assessing agreement on classification tasks: the kappa statistic

Computational Linguistics
A maximum entropy approach to natural language processing

Computational Linguistics
A corpus-based investigation of definite description use

Computational Linguistics
Feature lattices for maximum entropy modelling

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2

On coreferring: coreference in MUC and related annotation schemes

Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

We are annotating a corpus with information relevant to discourse entity realization, and especially the information needed to decide which type of NP to use. The corpus is being used to study correlations between NP type and certain semantic or discourse features, to evaluate hand-coded algorithms, and to train statistical models. We report on the development of our annotation scheme, the problems we have encountered, and the results obtained so far.