The generation of referring expressions is a central topic in computational linguistics. Natural referring expressions - both definite references like 'the baseball cap' and pronouns like 'it' - are dependent on discourse context. We examine the practical implications of context-dependent referring expression generation for the design of spoken systems. Currently, not all spoken systems have the goal of generating natural referring expressions. Many researchers believe that the context-dependency of natural referring expressions actually makes systems less usable. Using the dual-task paradigm, we demonstrate that generating natural referring expressions that are dependent on discourse context reduces cognitive load. Somewhat surprisingly, w...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
In conversation, speakers are likely to refer to the same objects more than once. These repeated ref...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
Traditional computational approaches to referring expression generation operate in a deliberate mann...
This paper discusses the issue of human variation in natural language referring expression generatio...
Human speakers generally find it easy to refer to entities in such a way that their hearers can dete...
A simple formalism is proposed to represent the contexts in which pronouns, definite /indefinite d...
In this paper we propose a cognitive model that simulates the acquisition of object pronouns. The mo...
The natural language generation literature provides many algorithms for the generation of referring ...
Reference is important in everyday interactions: people can only exchange information about objects ...
How do speakers refer to entities? This question has been addressed by both psycholinguists and comp...
The natural language generation litera-ture provides many algorithms for the generation of referring...
The natural language generation literature provides many algorithms for the generation of referring ...
Striegnitz K, Buschmeier H, Kopp S. Referring in installments: A corpus study of spoken object refer...
Reference is of fundamental importance in natural language semantics. In Formal Semantics, reference...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
In conversation, speakers are likely to refer to the same objects more than once. These repeated ref...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
Traditional computational approaches to referring expression generation operate in a deliberate mann...
This paper discusses the issue of human variation in natural language referring expression generatio...
Human speakers generally find it easy to refer to entities in such a way that their hearers can dete...
A simple formalism is proposed to represent the contexts in which pronouns, definite /indefinite d...
In this paper we propose a cognitive model that simulates the acquisition of object pronouns. The mo...
The natural language generation literature provides many algorithms for the generation of referring ...
Reference is important in everyday interactions: people can only exchange information about objects ...
How do speakers refer to entities? This question has been addressed by both psycholinguists and comp...
The natural language generation litera-ture provides many algorithms for the generation of referring...
The natural language generation literature provides many algorithms for the generation of referring ...
Striegnitz K, Buschmeier H, Kopp S. Referring in installments: A corpus study of spoken object refer...
Reference is of fundamental importance in natural language semantics. In Formal Semantics, reference...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
In conversation, speakers are likely to refer to the same objects more than once. These repeated ref...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...