The problem of generating referring expressions (GRE) is an important task in natural language generation. In this paper, we advocate for the use of logical languages in the output...
Carlos Areces, Santiago Figueira, Daniel Gor&iacut...
Recent research in Augmented and Alternative Communication (AAC) has begun to make use of Natural Language Generation (NLG) techniques. This creates an opportunity for constructin...
In affective natural language generation (NLG) a major aim is to be able to influence the emotional effects evoked in the addressee through the intelligent use of language. While...
This work describes an online application that uses Natural Language Generation (NLG) methods to generate walking directions in combination with dynamic 2D visualisation. We make ...
We present a discourse-level Tree Adjoining Grammar which tightly integrates syntax and discourse levels, including a representation for discourse entities. We show that this tech...
Producing a fluent ordering for a set of prenominal modifiers in a noun phrase (NP) is a problematic task for natural language generation and machine translation systems. We prese...
Today there exist a growing number of framenet-like resources offering semantic and syntactic phrase specifications that can be exploited by natural language generation systems. I...
The generation of referring expressions (GRE), an important subtask of Natural Language Generation (NLG) is to generate phrases that uniquely identify domain entities. Until recen...
This paper proposes a method for automatically inserting commas into Japanese texts. In Japanese sentences, commas play an important role in explicitly separating the constituents...
The task of generating referring expressions, an important subtask of Natural Language Generation is to generate phrases that uniquely identify domain entities. Until recently, man...