[PDF] Top 20 Referring Expression Generation through Attribute Based Heuristics
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Referring Expression Generation through Attribute Based Heuristics
... of heuristics, where each heuristic accounts for the inclusion of a specific ...or heuristics, shown in Figure 4 are just those which are most successful in predicting the data; but there can be many other ... See full document
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The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms
... the generation of referring expressions, since its semantic annotation in XML format permits using the referring expressions as input for REG ...English referring expressions in terms of ... See full document
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Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
... an attribute set of properties and re- lations that hold for that entity (Dale and Reiter, ...certain attribute, IA simply checks whether that attribute is a member of that entity’s attribute ... See full document
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Learning Distributions over Logical Forms for Referring Expression Generation
... Data Collection Our dataset consists of 118 im- ages, taken with a Microsoft Kinect camera. These are the same images used by Matuszek et al. (2012a), but we create multiple prompts for each im- age by circling different ... See full document
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Reference production in human computer interaction: Issues for Corpus based Referring Expression Generation
... The GRE3D3 and GRE3D7 corpora (Dale and Viethen, 2009; Viethen and Dale, 2011) were also implemented as web-based collection tasks involving single participants in the role of speakers. In both cases, the domain ... See full document
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A case study on context bound referring expression generation
... The experiment is designed using the TUNA fur- niture corpus and a subset of the TUNA people corpus that has been selected in a balanced way, making each feature value combination unique. It is conducted as a ... See full document
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Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
... is based on the user’s knowledge of the ex- ...appropriate expression to use is jargon, and if s/he doesn’t know the jargon, an de- scriptive expression is ... See full document
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Towards Situated Dialogue: Revisiting Referring Expression Generation
... is based on perceptual prin- ciples, also called the Gestalt Laws of perception (Sternberg, 2003), which describe how people group visually similar objects into entities or ...dimensions. Based on these two ... See full document
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Generation of Referring Expression Using Prefix Tree Structure
... Deemter (2002) shown that Incremental algorithm is only intersectively complete. But he argues that other Boolean combination of properties can be used to generate description for an object. Consider the example from ... See full document
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Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
... the referring expression types for each do- main entity in the system utterance, irrespective of the user model ...the referring ex- pressions are chosen, the system presents the user simulation with ... See full document
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Generation of Relative Referring Expressions based on Perceptual Grouping
... generating referring expressions mainly utilized attributes of objects and bi- nary relations between ...distinctive attribute among ...lect referring expressions in such situations, and built a ... See full document
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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
... fect of the language (as English and Dutch are highly comparable) but rather of the way the TUNA and D- TUNA corpora were constructed. The D-TUNA cor- pus was collected in more controlled conditions than TUNA and as a ... See full document
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Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs
... generating referring expres- sions has so far mostly focussed on “one- shot reference”, where the aim is to gener- ate a single, discriminating ...where referring informa- tion is offered piecewise until ... See full document
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On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data
... More recently, with the development of one of the largest ontologies, DBpedia (Bizer et al., 2009), much research has been devoted to exploit- ing this resource in NLP or NLG tasks as well as to model its changes. For ... See full document
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Preferences versus Adaptation during Referring Expression Generation
... preferred attribute or produce a dispreferred mod- ifier ordering when they had previously been ex- posed to these attributes or orderings, without be- ing aware of ... See full document
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Referring Expression Generation in time constrained communication
... Key aspects of the REG attribution selection task are eas- ily illustrated by the Dale & Reiter Incremental algorithm (Dale and Reiter, 1995). The algorithm takes as an input an intended target object r, a context C ... See full document
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Combining Referring Expression Generation and Surface Realization: A Corpus Based Investigation of Architectures
... language generation (NLG) has explored a number of ways to com- bine these decisions in an architecture, ranging from integrated systems where all decisions hap- pen jointly (Appelt, 1982) to strictly sequential ... See full document
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Combining symbolic and corpus based approaches for the generation of successful referring expressions
... left”) attribute over one pointing to the micro- level landmark (“to the left of the picture”), was not particularly successful in the scene: After hearing it, the IF spent time scanning the room further to the ... See full document
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Conceptual Coherence in the Generation of Referring Expressions
... It has been known at least since Dale and Reiter (1995) that the best distinguishing description is not always the shortest one. Yet, brevity plays a part in all GRE algorithms, sometimes in a strict form (Dale, 1989), ... See full document
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Referring Expression Generation Using Entity Profiles
... Referring Expression Generation (REG) is the task of generating contextually appropriate references to entities. A limitation of exist- ing REG systems is that they rely on entity- specific ... See full document
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