---
title: "Selecting Tense, Aspect, and Connecting Words In Language Generation"
authors:
  - "Bonnie J. Dorr"
  - "Terry Gaasterland"
doi: ""
url: "https://ijcai.org/proceedings/1995/167"
pdf: "https://ijcai.org/proceedings/1995/0167.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "1299-1306"
track: "Natural Language"
keywords:
---

# Selecting Tense, Aspect, and Connecting Words In Language Generation

Bonnie J. Dorr, Terry Gaasterland

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 1299-1306.

## Abstract

Generating language that reflects the temporal organization of represented knowledge requires a language generation model that integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text . This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts. The main result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.