10 |
Potential of Dedicated Language Processing Units in Computer Voice Interaction
|
|
|
|
In: Idaho Conference on Undergraduate Research (2017)
|
|
BASE
|
|
Show details
|
|
11 |
An outline of type-theoretical approaches to lexical semantics
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
12 |
Classifiers, Sorts, and Base Types in the Montagovian Generative Lexicon and Related Type Theoretical Frameworks for Lexical Compositional Semantics
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
13 |
СОСТАВ И СТРУКТУРА КОРПУСА ТЕКСТОВ RUSSIAN DECEPTION BANK, ПРЕДНАЗНАЧЕННОГО ДЛЯ РАЗРАБОТКИ МЕТОДИК ДИАГНОСТИРОВАНИЯ ЛЖИ В РЕЧИ
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Domain adaptation for statistical machine translation and neural machine translation
|
|
Zhang, Jian. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
|
|
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)
|
|
BASE
|
|
Show details
|
|
15 |
Detection of verbal multi-word expressions via conditional random fields with syntactic dependency features and semantic re-ranking
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
16 |
Incorporating visual information into neural machine translation
|
|
Calixto, Iacer. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
|
|
In: Calixto, Iacer (2017) Incorporating visual information into neural machine translation. PhD thesis, Dublin City University. (2017)
|
|
BASE
|
|
Show details
|
|
17 |
Dublin City University participation in the VTT track at TRECVid 2017
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
18 |
Machine translation of morphologically rich languages using deep neural networks
|
|
Passban, Peyman. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
|
|
In: Passban, Peyman (2017) Machine translation of morphologically rich languages using deep neural networks. PhD thesis, Dublin City University. (2017)
|
|
BASE
|
|
Show details
|
|
19 |
Entity linking for Tweets
|
|
|
|
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)
|
|
Abstract:
Named Entity Linking (NEL) is the task of semantically annotating entity mentions in a portion of text with links to a knowledge base. The automatic annotation, which requires the recognition and disambiguation of the entity mention, usually exploits contextual clues like the context of usage and the coherence with respect to other entities. In Twitter, the limits of 140 characters originates very short and noisy text messages that pose new challenges to the entity linking task. We propose an overview of NEL methods focusing on approaches specifically developed to deal with short messages, like tweets. NEL is a fundamental task for the extraction and annotation of concepts in tweets, which is necessary for making the Twitter’s huge amount of interconnected user-generated contents machine readable and enable the intelligent information access.
|
|
Keyword:
Artificial intelligence; Computational linguistics; Entity linking; Twitter
|
|
URL: http://doras.dcu.ie/25690/
|
|
BASE
|
|
Hide details
|
|
20 |
How do users perceive information: analyzing user feedback while annotating textual units
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
|