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Generation of Referring Expression Using Prefix Tree Structure
... can’t distinguish a from b at second phase. Deem- ter(2002) suggested inclusion of all overlapping values that are true of target while also removing some distractors. So, referring expression for a is “The ... See full document
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NeuralREG: An end to end approach to referring expression generation
... Language Generation (NLG) is the task of automatically converting non-linguistic data into coherent natural language text (Reiter and Dale, 2000; Gatt and Krahmer, ...2012). Referring Expression ... See full document
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On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies
... Language Generation (NLG) ...systems, using custom-tailored ...main Referring Expression Generation,” (OD REG), that is, a REG task where the properties come from a folksonomy, a ... See full document
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Referring Expression Generation through Attribute Based Heuristics
... in referring expression generation; this is evidenced both by the growing body of work that analyses and tries to replicate the content of corpora of human-produced refer- ring expressions, and ... See full document
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Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
... classic referring expression generation (REG) algorithms like the Incremental Algorithm (IA) assume perfect, complete, and acces- sible knowledge of all referents, this is not always ... See full document
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Towards Situated Dialogue: Revisiting Referring Expression Generation
... Now the hypergraph representing the perceived en- vironment has symbolic descriptors for its attributes and relations together with corresponding costs. Given this representation, REG can be formulated as a graph ... See full document
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Preferences versus Adaptation during Referring Expression Generation
... The generation of referring expressions is a core ingredient of most Natural Language Generation (NLG) systems (Reiter and Dale, 2000; Mellish et ...ring Expression Generation (REG) as ... See full document
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Trainable Speaker Based Referring Expression Generation
... Then, we look at surface realization for re- ferring expression generation. There are sev- eral approaches to surface realizations described in the literature (Reiter and Dale, 2000) rang- ing from ... See full document
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The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms
... In everyday communication, speakers often produce referring expressions. Such expressions (for example: ‘the grey chair’) have therefore been studied extensively in research on Natural Language Generation ... See full document
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A case study on context bound referring expression generation
... a referring expression. The visual fields are set up using data from the TUNA experi- ment with plain random or pragmatically en- riched configurations which allow for target ...the referring ... See full document
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Justifying Corpus-Based Choices in Referring Expression Generation
... NL generation elaborate on co-occur- rences and frequencies observed over a corpus, which are then accommodated by learning ...in generation subtasks, such as generating referring expressions, so ... See full document
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Referring Expression Generation in time constrained communication
... Language Generation system may have to express urgency or other dynamic aspects of a fast-evolving situation as text, which may be considerably different from text produced under so-called ‘normal’ circumstances ... See full document
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Reference production in human computer interaction: Issues for Corpus based Referring Expression Generation
... Language Generation field, Referring Expression Generation (REG) studies often make use of experiments involving human subjects for the collection of corpora of definite ...dialogue ... See full document
5
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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Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
... user-adaptive referring expres- sion generation (REG) policies for spoken dialogue ...systems. Referring expressions can be difficult to understand in techni- cal domains where users may not know the ... 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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Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
... user-adaptive referring expression gener- ation (REG) policies for spoken dialogue ...systems. Referring expressions can be dif- ficult to understand in technical domains where users may not know the ... See full document
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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
... But where do the preferences used in the algo- rithms come from? Dale and Reiter point out that preferences are domain dependent, and that deter- mining them for a given domain is essentially an empirical question. ... See full document
9
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs
... expressions referring to objects (for which segmentations ex- ist) from these images (130k REs for 96k objects), using a game-based crowd-sourcing approach, and they have assembled an annotated test ... See full document
11
Combining Referring Expression Generation and Surface Realization: A Corpus Based Investigation of Architectures
... Despite the common view of NLG as a pipeline process, it is a well-known problem that high- level, conceptual knowledge and low-level lin- guistic knowledge are tightly interleaved (Danlos, 1984; Mellish et al., 2000). ... See full document
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