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1
Ontology based interpretation of natural language
Cimiano, Philipp. - [San Rafael, Calif.] : Morgan & Claypool, 2014
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2
Computational paralinguistics : emotion, affect and personality in speech and language processing
Batliner, Anton; Schuller, Björn. - Chichester : Wiley, 2014
BLLDB
UB Frankfurt Linguistik
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3
Natural language generation in interactive systems
Stent, Amanda; Bangalore, Srinivas. - Cambridge [u.a.] : Cambridge Univ. Press, 2014
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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4
Information extraction from bibliography for Marker Assisted Selection in wheat
In: Metadata and Semantics Research ; MTSR 2014 : 8th Metadata and Semantics ; https://hal.archives-ouvertes.fr/hal-01132767 ; MTSR 2014 : 8th Metadata and Semantics, Nov 2014, Karlsruhe, Germany. pp.301-313, ⟨10.1007/978-3-319-13674-5_28⟩ ; https://archives-publications.inrae.fr/279506 (2014)
BASE
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5
Building Resources for Algerian Arabic Dialects
In: 15th Annual Conference of the International Communication Association Interspeech ; https://hal.inria.fr/hal-01066989 ; 15th Annual Conference of the International Communication Association Interspeech, ISCA, Sep 2014, Singapour, Singapore (2014)
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6
Reformatting clinical records based on global layout statistics
In: International Symposium on Semantic Mining in Biomedicine ; https://hal.archives-ouvertes.fr/hal-01831245 ; International Symposium on Semantic Mining in Biomedicine, Jan 2014, Aveiro, Portugal (2014)
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7
Project Management in Economic Intelligence: NooJ as Diagnostic Tool for Nanometrology Cluster
In: Formalising Natural Languages with NooJ 2013: Selected Papers from the NooJ 2013 International Conference ; https://hal.inria.fr/hal-01109149 ; Formalising Natural Languages with NooJ 2013: Selected Papers from the NooJ 2013 International Conference, 1 (1), Cambridge Scholars Publishing (June 1, 2014), 250 (Sahbi Sidhom and Philippe Lambert pp.173-190), 2014, Formalising Natural Languages with NooJ 2013, ISBN-13: 978-1443858243 and ISBN-10: 1443858242 ; Cambridge Scholars Publishing (June 1, 2014) (2014)
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8
JSreal : un réalisateur de texte pour la programmation web
Daoust, Nicolas. - 2014
BASE
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9
Biomedical natural language processing
Demner-Fushman, Dina; Cohen, Kevin Bretonnel. - Amsterdam [u.a.] : Benjamins, 2014
BLLDB
UB Frankfurt Linguistik
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10
PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS
In: Master's Theses (2014)
BASE
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11
Arabic text root extraction via morphological analysis and linguistic constraints
Abbod, M; Alsaad, A. - : Institute of Electrical and Electronics Engineers Inc., 2014
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12
Natural language processing and Chinese computing : third CCF conference ; proceedings
Zhao, Dongyan (Hrsg.); Zong, Chengqing (Hrsg.); Feng, Yansong (Hrsg.). - Heidelberg [u.a.] : Springer, 2014
BLLDB
UB Frankfurt Linguistik
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13
Interaction history based answer formulation for question answering
Perera, R; Nand, P. - : Springer, 2014
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14
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing (LG-LP)
Baptista, Jorge; Bhattacharyya, Pushpak; Fellbaum, Christiane. - : HAL CCSD, 2014. : Association for Computational Linguistics, 2014
In: https://hal.archives-ouvertes.fr/hal-01999889 ; Takuya Nakamura. Aug 2014, Dublin, Ireland. Association for Computational Linguistics, 2014, 978-1-873769-44-7. ⟨10.3115/v1/W14-58⟩ ; https://www.aclweb.org/ (2014)
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15
АВТОМАТИЗИРОВАННЫЙ КОНТЕНТ-АНАЛИЗ МНЕНИЙ ТРЕХ ПРЕДМЕТНЫХ ОБЛАСТЕЙ
БРУНОВА ЕЛЕНА ГЕОРГИЕВНА. - : Общество с ограниченной ответственностью Издательство Грамота, 2014
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16
МЕТОДЫ АНАЛИЗА ДИАЛОГОВ, ОСНОВАННЫЕ НА ТЕОРИИ РЕЧЕВЫХ ДЕЙСТВИЙ
СТЕПАНОВ ПАВЕЛ АНДРЕЕВИЧ; ПАЛЬЧУНОВ ДМИТРИЙ ЕВГЕНЬЕВИЧ; МИРЗАГИТОВ АЗАТ АЛЬФРЕДОВИЧ. - : Федеральное государственное автономное образовательное учреждение высшего образования «Новосибирский национальный исследовательский государственный университет», 2014
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17
Code mixing: a challenge for language identification in the language of social media
In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014)
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18
ОСОБЕННОСТИ ПАРАМЕТРИЧЕСКОЙ ЛЕКСИКИ ПРИ КОНТЕНТ-АНАЛИЗЕ МНЕНИЙ
БРУНОВА ЕЛЕНА ГЕОРГИЕВНА. - : Общество с ограниченной ответственностью Издательство Грамота, 2014
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19
ImageSpirit: Verbal guided image parsing
In: http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_spirit/paper_docs/imageSpirit_tog_14.pdf (2014)
Abstract: Humans describe images in terms of nouns and adjectives while algorithms operate on images represented as sets of pixels. Bridging this gap between how humans would like to access images versus their typical representation is the goal of image parsing, which involves assigning object and attribute labels to pixel. In this paper we propose treating nouns as object labels and adjectives as visual attribute labels. This allows us to formulate the image parsing problem as one of jointly estimating per-pixel object and attribute labels from a set of training images. We propose an efficient (interactive time) solution. Using the extracted labels as handles, our system empowers a user to verbally refine the results. This enables hands-free parsing of an image into pixel-wise object/attribute labels that correspond to human se-mantics. Verbally selecting objects of interests enables a novel and natural interaction modality that can possibly be used to interact with new gener-ation devices (e.g. smart phones, Google Glass, living room devices). We demonstrate our system on a large number of real-world images with vary-ing complexity. To help understand the tradeoffs compared to traditional mouse based interactions, results are reported for both a large scale quanti-tative evaluation and a user study.
Keyword: Categories and Subject Descriptors; I.3.6 [Computer Graphics; I.4.8 [Image Processing and Computer Vision; image pars- ing; image parsing; Method- ology and Techniques—Interaction Techniques; natural language control; object class segmentation; Scene Analysis—Object Recognition General Terms; speech interface Additional Key Words and Phrases; visual attributes
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.2334
http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_spirit/paper_docs/imageSpirit_tog_14.pdf
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20
A language-independent and fully unsupervised approach to lexicon induction and part-of-speech tagging for closely related languages
In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022298 ; Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland (2014)
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