Graph-Based Generation of Referring Expressions
نویسندگان
چکیده
منابع مشابه
Graph-Based Generation of Referring Expressions
This article describes a new approach to the generation of referring expressions. We propose to formalize a scene (consisting of a set of objects with various properties and relations) as a labeled directed graph and describe content selection (which properties to include in a referring expression) as a subgraph construction problem. Cost functions are used to guide the search process and to gi...
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In Natural Language Generation, the task of attribute selection (AS) consists of determining the appropriate attribute-value pairs (or semantic properties) that represent the contents of a referring expression. Existing work on AS includes a wide range of algorithmic solutions to the problem, but the recent availability of corpora annotated with referring expressions data suggests that corpus-b...
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Corpus-based evaluation of NLP systems has become a dominant methodology. Typically, some metric is invoked to evaluate the results produced by a system against a ‘gold standard’ represented in the corpus. Despite growing recognition of the importance of empirical evaluation in NLG, resources and methodologies for evaluation of Generation of Referring Expressions (GRE) are in their infancy (but...
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Past work of generating referring expressions mainly utilized attributes of objects and binary relations between objects in order to distinguish the target object from others. However, such an approach does not work well when there is no distinctive attribute among objects. To overcome this limitation, this paper proposes a novel generation method utilizing perceptual groups of objects and n-ar...
متن کاملA Conceptual Graph approach to the Generation of Referring Expressions
This paper presents a Conceptual Graph (CG) framework to the Generation of Referring Expressions (GRE). Employing Conceptual Graphs as the underlying formalism allows a rigorous, semantically rich, approach to GRE. A number of advantages over existing work are discussed. The new framework is also used to revisit existing complexity results in a fully rigorous way, showing that the expressive po...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2003
ISSN: 0891-2017,1530-9312
DOI: 10.1162/089120103321337430