Referring expression generation
Towards the Evaluation of Referring Expression Generation
... Ultimately, it seems that performance metrics based on the notion of coverage of a data set are fundamentally flawed when we consider a task like referring expression generation. We have ar- gued ...
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Referring Expression Generation as a Search Problem
... So far, we have used the framwework to express the most widely-known algorithms in the literature. Preliminary examination of the algorithms in (Krahmer et al., 2003), (van Deemter and Krahmer, forthcoming), and (Ho- ...
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Decoding Strategies for Neural Referring Expression Generation
... sequence generation is now widely used in NLP and NLG (natural lan- guage ...for referring expression generation with neural ...Here, expression length is crucial: output should neither ...
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Trainable Speaker Based Referring Expression Generation
... Syntactic information also helps in eliminating un- grammatical sentence realizations. At the other ex- treme, there are techniques that exhaustively gen- erate possible realizations with recourse to syntax in as much as ...
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Referring Expression Generation Using Entity Profiles
... Table 5: An example of how the switch variable works in referring expression generation. variable. We put the gold-standard referring ex- pression, pre- and post-context together in Con- text. ...
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The Use of Spatial Relations in Referring Expression Generation
... on referring expression generation that re- lations are used in descriptions only ‘as a last resort’, typically on the basis that including the second entity in the relation introduces an additional ...
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An Evolutionary Approach to Referring Expression Generation and Aggregation
... the referring expressions and the aggregation were the most suitable to be solved using ...EAs. Referring Expression Generation involves deciding how each element ocurring in the input is ...
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Decoding Strategies for Neural Referring Expression Generation
... sequence generation is now widely used in NLP and NLG (natural lan- guage ...for referring expression generation with neural ...Here, expression length is crucial: output should neither ...
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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 ...
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NeuralREG: An end to end approach to referring expression generation
... full Referring Expression Generation pro- ...generates referring expressions for dis- course entities by simultaneously selecting form and content without any need of feature extraction ...a ...
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Preferences versus Adaptation during Referring Expression Generation
... Abstract 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 ...
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Towards Situated Dialogue: Revisiting Referring Expression Generation
... In that work, the main focus is on reference resolu- tion: given referential descriptions from human part- ners, how to identify referents in the environment even though the robot only has imperfect percep- tion of the ...
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Referring Expression Generation through Attribute Based Heuristics
... on referring expression generation—is that one person’s refer- ential behaviour differs from that of another: given the same referential task, different subjects will choose different ...
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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 ...
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Speaker Dependent Variation in Content Selection for Referring Expression Generation
... on referring expression generation at- tempts to determine what attributes should be used in a description by taking account of aspects of the context of ...
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‘One’ anaphora and the case for discourse driven referring expression generation
... the generation of one-anaphora could be integrated into ex- isting referring expression generation algo- ...the generation of one-anaphora into conven- tional generation ...
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Attribute Selection for Referring Expression Generation: New Algorithms and Evaluation Methods
... Brighton BN2 4GJ, UK [email protected] Abstract Referring expression generation has recently been the subject of the first Shared Task Chal- lenge in NLG . In this paper, we analyse the systems ...
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On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies
... Generating referring expressions has received considerable attention in Natural Language ...of referring expression genera- tors moving away from limited domains with custom-made ...domain ...
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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 ...
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Referring Expression Generation in time constrained communication
... computational generation of nat- ural language in time-constrained communication by pre- senting two experiments that use the attribute selection task of definite descriptions as a working ...
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