expression generation
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 ...
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Referring Expression Generation through Attribute Based Heuristics
... 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 particularly by ...
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Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
... referring expression generation (REG) algorithms like the Incremental Algorithm (IA) assume perfect, complete, and acces- sible knowledge of all referents, this is not always ...
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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 that ...
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A case study on context bound referring expression generation
... T. C. Ferreira I. Paraboni. 2014. Referring expression generation: Taking speakers’ preferences into ac- count. In I. Kopecek K. Pala P. Spjka, A. Hor´ak, ed- itor, Text, Speech and Dialogue. 17th ...
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Towards Situated Dialogue: Revisiting Referring Expression Generation
... In situated dialogue, humans and agents have mismatched capabilities of perceiving the shared environment. Their representations of the shared world are misaligned. Thus referring expression generation ...
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Preferences versus Adaptation during Referring Expression Generation
... Current Referring Expression Generation algorithms rely on domain dependent pref- erences for both content selection and lin- guistic realization. We present two exper- iments showing that human speakers ...
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NeuralREG: An end to end approach to referring expression generation
... This study introduced NeuralREG, an end-to-end approach based on neural networks which tack- les the full Referring Expression Generation pro- cess. It generates referring expressions for dis- course ...
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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 ...
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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 supervised ...
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Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
... The image-to-video translation might seem like an ill- posed problem because the output has much more unknowns to fill in than the input values. Although there have been some works on video generation (Oh et al. ...
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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
... In this paper, we address these questions by systematically training two REG algorithms the Incremental Algorithm and the graph-based REG algorithm on sets of human-produced descriptions[r] ...
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Learning Distributions over Logical Forms for Referring Expression Generation
... Finally, our approach to modeling meaning us- ing lambda calculus is related to a number of ap- proaches that used similar logical representation in various domains, including database query in- terfaces (Zelle and ...
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On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data
... A sub-task of Natural Language Genera- tion (NLG) is the generation of referring expressions (REG). REG algorithms are expected to select attributes that unam- biguously identify an entity with respect to a set of ...
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Generation of Referring Expression Using Prefix Tree Structure
... In this section, it is shown how a scene can be rep- resented using a trie data structure. The scheme is based on Incremental algorithm (Reiter and Dale 1995) and incorporates the attractive properties (e.g. speed, ...
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Developing a new generation of breast cancer clinical gene expression tests
... Gene expression profiles are valuable clinical tools that stratify the recurrence risk to identify patients most likely to benefit from adjuvant systemic ...
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Ptf1a determines GABAergic over glutamatergic neuronal cell fate in the spinal cord dorsal horn
... Fig. 1. Ptf1a is in precursors to multiple neural tissues and overlaps with Mash1 in the dorsal neural tube. The Ptf1a lineage was visualized by  - gal staining of Ptf1a Cre/+ ;R26R-stop- lacZ +/– mice. (A) E11.5 whole ...
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Generation of a More Immunogenic Measles Vaccine by Increasing Its Hemagglutinin Expression
... creased expression of H, we made use of a previously described MV cDNA identical in amino acid sequence to the Moraten vac- cine strain with an inserted additional transcriptional unit (ATU) downstream from the N ...
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Life cycle generation specific developmental processes are modified in the immediate upright mutant of the brown alga Ectocarpus siliculosus
... E. siliculosus sporophytes can be produced in a number of different ways (Fig. 1): (1) via gamete fusion and zygote production; (2) by mito-spores produced by the plurilocular sporangia of sporophytes; (3) from a ...
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Test Case Generation using UML State Diagram and OCL Expression
... Several research attempts have been proposed for test case generation under various circumstances, mainly scenario based, path oriented, model based, goal oriented approaches. Scenario-based test case based on ...
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