In this paper, we propose a general way of constructing an NLG system that permits the systematic exploration of the effects of particular system choices on output quality. We cal...
In this paper we investigate the automatic generation and evaluation of sentential paraphrases. We describe a method for generating sentential paraphrases by using a large aligned...
This paper presents an easy-to-adapt, discourse-aware framework that can be utilized as the content selection component of a generation system whose goal is to deliver descriptive...
In many areas of NLP reuse of utility tools such as parsers and POS taggers is now common, but this is still rare in NLG. The subfield of surface realisation has perhaps come clos...
Anja Belz, Mike White, Josef van Genabith, Deirdre...
In this paper we present a reference generation model based on Reference Domain Theory which gives a dynamic account of reference. This reference model assumes that each referring...
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
This paper proposes a method for extracting high-level rules for expository dialogue generation. The rules are extracted from dialogues that have been authored by expert dialogue ...
This paper presents the experiments carried out at Jadavpur University as part of the participation in the GREC Named Entity Generation Challenge 2010. The Baseline system is base...
Building NLG systems, in particular statistical ones, requires parallel data (paired inputs and outputs) which do not generally occur naturally. In this paper, we investigate the ...
In this paper, we propose a new shared task called HOO: Helping Our Own. The aim is to use tools and techniques developed in computational linguistics to help people writing about...