[PDF] Top 20 Justifying Corpus-Based Choices in Referring Expression Generation
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Justifying Corpus-Based Choices in Referring Expression Generation
... These observations suggest a number of extensions and further uses. First of all, applying our method to a larger set of corpora would not only extent the coverage beyond people and pieces of furniture, but it would also ... See full document
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Combining symbolic and corpus based approaches for the generation of successful referring expressions
... IG choices under all circumstances; it only does so when it believes that the human IG choices are highly ...different choices—those that a more successful IG might make in the ... See full document
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Preferences versus Adaptation during Referring Expression Generation
... be corpus dependent, and can be estimated in a data-driven ...be based on two components: a relatively fixed domain component (preferred is cheaper) and a flexible interactive component (recently used is ... See full document
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Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
... In this section, we present user simulation mod- els that simulate the dialogue behaviour of a real human user. Several user simulation models have been proposed for use in reinforcement learning of dialogue policies ... See full document
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A case study on context bound referring expression generation
... niture corpus and a subset of the TUNA people corpus that has been selected in a balanced way, making each feature value combination ...compiled corpus consists of 1029 production ses- sions from 50 ... See full document
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Referring Expression Generation in time constrained communication
... a corpus of referring expressions from scenes that encouraged the use of spatial relations, and in which a range of alternatives for referential overspecification was available, including highly salient ... See full document
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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
... same corpus frequencies; here, following Theune et ...frequencies based on k-means ...groups based on their fre- ...training corpus were automatically assigned cost ... See full document
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Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
... a corpus of expert- layperson interactions to train ...a corpus-driven framework using which a user-adaptive REG policy can be learned using RL from a small corpus of non-adaptive human- machine ... See full document
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Reference production in human computer interaction: Issues for Corpus based Referring Expression Generation
... the generation of descriptions that resemble those produced by human speakers, corpora of human- produced referring expressions are often collected to gain insights on these issues, and in some cases to ... See full document
5
Corpus-based Referring Expressions Generation
... TUNA corpus to learn possi- ble AS ...third corpus-based approach to REG, we attempt to use surface information taken from the corpus to guide the (otherwise strictly semantic) AS ...function ... See full document
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Combining Referring Expression Generation and Surface Realization: A Corpus Based Investigation of Architectures
... Generating Referring Expressions in Context (GREC) tasks, where candidate REs have to be assigned to in- stances of a referent in a Wikipedia article (Belz and Kow, ... See full document
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A Self-Referring Quantitative Evaluation of the ATR Basic Travel Expression Corpus (BTEC)
... the corpus size if we observe the transitions up close, the left-hand panel shows that the cur- rent growth rates are in fact very close to zero within the overall transition ...the corpus, therefore, it ... See full document
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Generation of Relative Referring Expressions based on Perceptual Grouping
... proper referring ex- pressions in situations where no significant surface difference exists between the target and distractors, and no binary relation is useful to distinguish the ...proper referring ... See full document
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QTUNA: A Corpus for Understanding How Speakers Use Quantification
... We wanted to find out how a wide range of quan- tified NPs are used as part of a wider communica- tive task. So, instead of showing our subjects a scene and asking them how they would describe the number of so-and-so’s ... See full document
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Learning Distributions over Logical Forms for Referring Expression Generation
... to referring ex- pression generation, casting it as a density es- timation problem where the goal is to learn distributions over logical expressions identi- fying sets of objects in the ...new corpus ... See full document
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Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
... Traditional REG evaluation metrics (e.g., Dice (Gatt et al., 2007) and MASI (Passonneau, 2006)) compare algorithm- and human-chosen attributes by mea- suring the distance (e.g., set difference) between machine- and ... 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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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 Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies
... We performed two experiments: first we em- ployed sets of distractors derived from a set of docu- ments annotated with anaphora resolution informa- tion (Hasler et al., 2006). We found that roughly half of the entities ... See full document
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Squibs and Discussions: Real versus Template Based Natural Language Generation: A False Opposition?
... language generation (NLG) systems are sometimes partitioned into application- dependent systems which lack a proper theoretical foundation, on the one hand, and theoretically well-founded systems which embody ... See full document
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