International audienceIn this paper, we propose to reinterpret the problem of generating referring expressions (GRE) as the problem of computing a formula in a description logic that is only satisfied by the referent. This view offers a new unifying perspective under which existing GRE algorithms can be compared. We also show that by applying existing algorithms for computing simulation classes in description logic, we can obtain extremely efficient algorithms for relational referring expressions without any danger of running into infinite regress
The natural language generation literature provides many algorithms for the generation of referring ...
The natural language generation literature provides many algorithms for the generation of referring ...
When we describe an object in order to enable a listener to identify it, we often do so by indicatin...
In this paper, we propose to reinterpret the problem of generating referring expressions (GRE) as th...
Abstract. The problem of generating referring expressions (GRE) is an important task in natural lang...
Almost all existing referring expression generation algorithms aim to find one best referring expres...
Almost all natural language generation (NLG) systems are faced with the problem of the generation of...
This paper brings a logical perspective to the generation of referring expressions, addressing the i...
This paper discusses the construction of a corpus for the evaluation of algorithms that generate ref...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
A module for generation of referring expressions (GRE) de-rives descriptions that identify specified...
In this paper we present a novel approach to generating referring expressions (GRE) that is tailored...
This paper describes a new approach to the generation of referring expressions. We propos
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
Abstract. We present a new approach to the generation of referring ex-pressions containing attributi...
The natural language generation literature provides many algorithms for the generation of referring ...
The natural language generation literature provides many algorithms for the generation of referring ...
When we describe an object in order to enable a listener to identify it, we often do so by indicatin...
In this paper, we propose to reinterpret the problem of generating referring expressions (GRE) as th...
Abstract. The problem of generating referring expressions (GRE) is an important task in natural lang...
Almost all existing referring expression generation algorithms aim to find one best referring expres...
Almost all natural language generation (NLG) systems are faced with the problem of the generation of...
This paper brings a logical perspective to the generation of referring expressions, addressing the i...
This paper discusses the construction of a corpus for the evaluation of algorithms that generate ref...
Abstract. The premise of the work presented in this chapter is that much of the existing work on the...
A module for generation of referring expressions (GRE) de-rives descriptions that identify specified...
In this paper we present a novel approach to generating referring expressions (GRE) that is tailored...
This paper describes a new approach to the generation of referring expressions. We propos
In this paper, we explore a corpus of human-produced referring expressions to see to what extent we ...
Abstract. We present a new approach to the generation of referring ex-pressions containing attributi...
The natural language generation literature provides many algorithms for the generation of referring ...
The natural language generation literature provides many algorithms for the generation of referring ...
When we describe an object in order to enable a listener to identify it, we often do so by indicatin...