Evaluating algorithms for the generation of referring expressions: Going beyond toy domain
Referring expression generation has recently been the subject of the first Shared Task Challenge in ...
The natural language generation literature provides many algorithms for the generation of referring ...
Referring generation expression is a natural language processing task that involves creating noun ph...
Abstract Despite being the focus of intensive research, evaluation of algorithms that generate refer...
Despite being the focus of intensive research, evaluationof algorithms that generate referring expre...
This paper discusses the construction of a corpus for the evaluation of algorithms that generate ref...
This paper describes a new approach to the generation of referring expressions. We propos
The Natural Language Generation community is currently engaged in discussion as to whether and how t...
As one of the most well-defined subtasks in Natural Language Generation (NLG), the generation of ref...
We describe a corpus-based evaluation method- ology, applied to a number of classic algorithms in th...
We propose an algorithm for the generation of referring expressions (REs) that adapts the approach o...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
In Natural Language Generation, the task of attribute selection (AS) consists of determining the app...
Referring expression generation has recently been the subject of the first Shared Task Challenge in ...
The natural language generation literature provides many algorithms for the generation of referring ...
Referring generation expression is a natural language processing task that involves creating noun ph...
Abstract Despite being the focus of intensive research, evaluation of algorithms that generate refer...
Despite being the focus of intensive research, evaluationof algorithms that generate referring expre...
This paper discusses the construction of a corpus for the evaluation of algorithms that generate ref...
This paper describes a new approach to the generation of referring expressions. We propos
The Natural Language Generation community is currently engaged in discussion as to whether and how t...
As one of the most well-defined subtasks in Natural Language Generation (NLG), the generation of ref...
We describe a corpus-based evaluation method- ology, applied to a number of classic algorithms in th...
We propose an algorithm for the generation of referring expressions (REs) that adapts the approach o...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
In Natural Language Generation, the task of attribute selection (AS) consists of determining the app...
Referring expression generation has recently been the subject of the first Shared Task Challenge in ...
The natural language generation literature provides many algorithms for the generation of referring ...
Referring generation expression is a natural language processing task that involves creating noun ph...