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Hits 361 – 379 of 379

361
Salience in the Generation of Multimodal Referring Acts
In: http://mcs.open.ac.uk/pp2464/inpress/Piwek-ICMI2009.pdf
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362
Generating a Sentence from a Thought
In: http://world-comp.org/p2011/ICA3771.pdf
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363
Fully Generated Scripted Dialogue for Embodied Agents
In: http://www.csd.abdn.ac.uk/~kvdeemte/NECA-final.pdf
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364
Language Engineering System for Automatic Conversion of English Cyber Data into Urdu Websites
In: http://www.cs.bham.ac.uk/~isb855/papers/ICCA06_.pdf
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365
doi: 0.5087/dad.2012.205 G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support
In: http://elanguage.net/journals/dad/article/viewFile/1463/2827/
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366
in
In: http://pre2009.uvt.nl/pdf/spangeretal.pdf
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367
Text-to-text Surface Realisation using Dependency-tree Replacement
In: http://each.uspnet.usp.br/ivandre/papers/text2TextSurfaceReal(10p).pdf
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368
An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style
In: http://games.soe.ucsc.edu/sites/default/files/1114_Paper.pdf
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369
Experience
In: http://www.desilinguist.org/pdf/madnani-cv.pdf
Abstract: ◦ Designed, developed and implemented a novel, feature-driven computational model for automatically paraphrasing any given sentence in any language to another semantically equivalent sentence. The model is particularly appropriate for use in other language processing applications (see Machine Translation below). ◦ Conducting human studies using Amazon Mechanical Turk in order to understand how humans perceive semantic equivalence at the sentence level and to explore how this perception compares with the computational model. Machine Translation ◦ Participated in the development of a rule-based framework (DUSTer) to unravel cross-linguistic divergences—naturally occurring instances wherein the same underlying concept is distributed over different words between two natural languages—that can confound the process of automatic translation. ◦ Ported DUSTer to an entirely new language pair (Hindi-English) as part of the DARPA Translingual Information Detection, Extraction and Summarization (TIDES) program. ◦ Ported a popular machine learning algorithm used to automatically learn the system parameters
Keyword: Artificial Intelligence and Computer Science Education. Research; Automatic Paraphrase Generation; Computational Linguistics; Machine Learning; Natural Language Processing; Statistical Machine Translation
URL: http://www.desilinguist.org/pdf/madnani-cv.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.6622
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370
Perceived or Not Perceived: Film Character Models for Expressive NLG
In: http://users.soe.ucsc.edu/~maw/papers/icids-v12.pdf
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371
Solicited review(s): Name Surname, University, Country Open review(s): Name Surname, University, Country
In: http://www.semantic-web-journal.net/system/files/swj450.pdf
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372
IOS Press Natural Language Generation in the Context of the Semantic Web
In: http://www.semantic-web-journal.net/system/files/swj511_0.pdf
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373
Feeding memes: a verbal communication challenge
In: http://mobileguide06.di.unito.it/pdf/Simi%26al.pdf
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374
On Moving on on Ontologies: Mass, Count and Long Thin Things
In: http://acl.ldc.upenn.edu/W/W94/W94-0309.pdf
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375
Exploring neural paraphrasing to improve fluency of rule-based generation
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376
Spanish morphological generation with wide-coverage lexicons and decision trees
AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio; Ferrés, Daniel. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
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377
An adaptable lexical simplification architecture for major ibero-romance languages
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378
Application of fuzzy sets in data-to-text system
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379
Automatic generation of textual descriptions in data-to-text systems using a fuzzy temporal ontology: Application in air quality index data series
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