There is a prevailing assumption in the literature on referring expression generation that relations are used in descriptions only ‘as a last resort’, typically on the basis that including the second entity in the relation introduces an additional cognitive load for either speaker or hearer. In this paper, we describe an experiment that attempts to test this assumption; we determine that, even in simple scenes where the use of relations is not strictly required in order to identify an entity, relations are in fact often used. We draw some conclusions as to what this means for the development of algorithms for the generation of referring expressions.9 page(s
Reference is important in everyday interactions: people can only exchange information about objects ...
Reference is important in everyday interactions: people can only exchange information about objects ...
Traditional approaches to referring expression generation (REG) have taken as a fundamental requirem...
When we describe an object in order to enable a listener to identify it, we often do so by indicatin...
Referring to objects in a natural and unambiguous manner is crucial for effective human-robot intera...
An important question for some spatial language systems is how to select the frames of reference tha...
Traditional computational approaches to referring expression generation operate in a deliberate mann...
In a production experiment (Experiment 1) and an acceptability rating one (Experiment 2), we assesse...
The natural language generation literature provides many algorithms for the generation of referring ...
This paper presents an approach to incrementally generating locative expressions. It addresses the i...
This paper presents an approach to incrementally generating locative expressions. It addresses the i...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
The natural language generation literature provides many algorithms for the generation of referring ...
Although communicative purposes are an important element in language production, few studies investi...
The natural language generation litera-ture provides many algorithms for the generation of referring...
Reference is important in everyday interactions: people can only exchange information about objects ...
Reference is important in everyday interactions: people can only exchange information about objects ...
Traditional approaches to referring expression generation (REG) have taken as a fundamental requirem...
When we describe an object in order to enable a listener to identify it, we often do so by indicatin...
Referring to objects in a natural and unambiguous manner is crucial for effective human-robot intera...
An important question for some spatial language systems is how to select the frames of reference tha...
Traditional computational approaches to referring expression generation operate in a deliberate mann...
In a production experiment (Experiment 1) and an acceptability rating one (Experiment 2), we assesse...
The natural language generation literature provides many algorithms for the generation of referring ...
This paper presents an approach to incrementally generating locative expressions. It addresses the i...
This paper presents an approach to incrementally generating locative expressions. It addresses the i...
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
The natural language generation literature provides many algorithms for the generation of referring ...
Although communicative purposes are an important element in language production, few studies investi...
The natural language generation litera-ture provides many algorithms for the generation of referring...
Reference is important in everyday interactions: people can only exchange information about objects ...
Reference is important in everyday interactions: people can only exchange information about objects ...
Traditional approaches to referring expression generation (REG) have taken as a fundamental requirem...