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Potential of Dedicated Language Processing Units in Computer Voice Interaction
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In: Idaho Conference on Undergraduate Research (2017)
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An outline of type-theoretical approaches to lexical semantics
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In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-01802968 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2017, 5 (2), pp.165-178. ⟨10.15398/jlm.v5i2.200⟩ (2017)
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Classifiers, Sorts, and Base Types in the Montagovian Generative Lexicon and Related Type Theoretical Frameworks for Lexical Compositional Semantics
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In: Modern Perspectives in Type-Theoretical Semantics ; https://hal.archives-ouvertes.fr/hal-01471256 ; Modern Perspectives in Type-Theoretical Semantics, Studies in Linguistics and Philosophy (98), pp.163-188, 2017, 978-3-319-50422-3. ⟨10.1007/978-3-319-50422-3_7⟩ (2017)
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СОСТАВ И СТРУКТУРА КОРПУСА ТЕКСТОВ RUSSIAN DECEPTION BANK, ПРЕДНАЗНАЧЕННОГО ДЛЯ РАЗРАБОТКИ МЕТОДИК ДИАГНОСТИРОВАНИЯ ЛЖИ В РЕЧИ
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Abstract:
Проблема выявления лжи в речи (как устной, так и письменной) имеет не только теоретическую, но и очевидную практическую значимость, что связано, в числе прочего, с появлением большого числа интернет-текстов, которые могут содержать намеренно искаженную информацию. В современной науке общепринятым является подход к выявлению в речи ложной (т.е. намеренно искаженной) информации с использованием достижений корпусной и компьютерной лингвистики. На русском языке таких исследований до настоящего времени практически не существовало, что было связано главным образом с отсутствием соответствующих корпусов текстов. В статье представлен корпус текстов RUSSIAN DECEPTION BANK, предназначенный для изучения проблемы выявления лжи в тексте, а также описаны результаты исследований на материале корпуса. ; The problem of lie detection in speech (both oral and written) has not only theoretical, but also the obvious and practical importance that is connected, among others, with the emergence of a large number of online texts which can deliberately contain distorted information. In modern science, the approach to identify false (i.e., deliberately distorted) information in speech using achievements of corpus and computational linguistics is considered as generally accepted. There are scarcely such studies in Russian up to date that is mainly connected with the lack of appropriate corpus texts. The text corpus RUSSIAN DECEPTION BANK intended to study the problem of lie detection in the text is presented, and also research results are described as exemplified in materials of the corpus.
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Keyword:
ЛИНГВИСТИКА ЛЖИ,ЛОЖЬ,НАМЕРЕННО ИСКАЖЕННАЯ ИНФОРМАЦИЯ,ВЫЯВЛЕНИЕ ЛЖИ В РЕЧИ,КОРПУСЫ ТЕКСТОВ,КОРПУСНАЯ ЛИНГВИСТИКА,АВТОМАТИЧЕСКАЯ ОБРАБОТКА ТЕКСТОВ,МЕТОДЫ КЛАССИФИКАЦИИ ТЕКСТОВ,КОМПЬЮТЕРНАЯ ЛИНГВИСТИКА,LINGUISTICS OF LIE,LIE,DELIBERATELY DISTORTED INFORMATION,LIE DETECTION IN SPEECH,TEXT CORPUS,CORPUS LINGUISTICS,AUTOMATED LANGUAGE PROCESSING,CLASSIFICATION METHODS OF TEXTS,COMPUTATIONAL LINGUISTICS
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URL: http://cyberleninka.ru/article/n/sostav-i-struktura-korpusa-tekstov-russian-deception-bank-prednaznachennogo-dlya-razrabotki-metodik-diagnostirovaniya-lzhi-v-rechi
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| 14 |
Domain adaptation for statistical machine translation and neural machine translation
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Zhang, Jian. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Zhang, Jian orcid:0000-0001-5659-5865 (2017) Domain adaptation for statistical machine translation and neural machine translation. PhD thesis, Dublin City University. (2017)
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| 15 |
Detection of verbal multi-word expressions via conditional random fields with syntactic dependency features and semantic re-ranking
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In: Maldonado, Alfredo orcid:0000-0001-8426-5249 , Han, Lifeng orcid:0000-0002-3221-2185 , Moreau, Erwan orcid:0000-0001-7692-526X , Alsulaimani, Ashjan, Chowdhury, Koel, Vogel, Carl orcid:0000-0001-8928-8546 and Liu, Qun orcid:0000-0002-7000-1792 (2017) Detection of verbal multi-word expressions via conditional random fields with syntactic dependency features and semantic re-ranking. In: 13th Workshop on Multiword Expressions (MWE 2017), Apr 2017, Valencia, Spain. (2017)
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Incorporating visual information into neural machine translation
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Calixto, Iacer. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Calixto, Iacer (2017) Incorporating visual information into neural machine translation. PhD thesis, Dublin City University. (2017)
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Dublin City University participation in the VTT track at TRECVid 2017
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Hu, Feiyan orcid:0000-0001-7451-6438 , Du, Jinhua orcid:0000-0002-3267-4881 , Cosgrove, Daniel, McGuinness, Kevin orcid:0000-0003-1336-6477 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Arazo Sánchez, Eric, Zhou, Jiang orcid:0000-0002-3067-8512 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2017) Dublin City University participation in the VTT track at TRECVid 2017. In: TRECVid workshop, 13-15 Nov 2017, Gaithersburg, Md., USA. (2017)
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| 18 |
Machine translation of morphologically rich languages using deep neural networks
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Passban, Peyman. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Passban, Peyman (2017) Machine translation of morphologically rich languages using deep neural networks. PhD thesis, Dublin City University. (2017)
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Entity linking for Tweets
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In: Basile, Pierpaolo orcid:0000-0002-0545-1105 and Caputo, Annalina orcid:0000-0002-7144-8545 (2017) Entity linking for Tweets. Encyclopedia with Semantic Computing and Robotic Intelligence, 1 (1). pp. 1-9. ISSN 2529-7376 (2017)
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How do users perceive information: analyzing user feedback while annotating textual units
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In: Arora, Piyush orcid:0000-0003-0055-345X and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2017) How do users perceive information: analyzing user feedback while annotating textual units. In: CHIIR 2017 Workshop on Supporting Complex Search Tasks, 11 Mar 2017, Oslo, Norway. (2017)
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