S. Filippov Mapping Text and Data Mining in Academic and Research Communities in Europe, Technical Report 2014 (accessed 19.08.15)
D. Harris Netflix uses data for a lot more than just recommendations 2014 https://gigaom.com/2014/06/12/netflix-uses-data-for-a-lot-more-than-just-recommendations/ (accessed 19.08.15)
J. Best IBM Watson: the inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next 2014 http://www.techrepublic.com/article/ibm-watson-the-inside-story-of-how-the-jeopardy-winning-supercomputer-was-born-and-what-it-wants-to-do-next/ (accessed 19.08.15)
L. Dignan IBM Watson's next adventure: healthcare with Nuance 2011 http://www.zdnet.com/article/ibm-watsons-next-adventure-healthcare-with-nuance/ (accessed 19.08.15)
E. Guizzo IBM's Watson Jeopardy Computer Shuts Down Humans in Final Game 2011 http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/ibm-watson-jeopardy-computer-shuts-down-humans/ (accessed 19.08.15)
The Bank of England mines social media in bid to predict economic events ahead of time 2015 http://www.out-law.com/en/articles/2015/august/the-bank-of-england-mines-social-media-in-bid-to-predict-economic-events-ahead-of-time/ (accessed 19.08.15)
IBM Watson Hard At Work: New Breakthroughs Transform Quality Care for Patients 2013 https://www.mskcc.org/press-releases/ibm-watson-hard-work-new-breakthroughs-transform-quality-care-patients/ (accessed 19.08.15)
Watson in Finances, http://www-05.ibm.com/innovation/uk/watson/watson-in-finance.shtml/ (accessed 19.08.15).
DBS Bank Engages IBM's Watson to Achieve Next Generation Client Experience, https://www-03.ibm.com/press/us/en/pressrelease/42868.wss/ (accessed 19.08.15).
Standard Bank deploys IBM's Watson to crunch customer data 2014 http://www.finextra.com/news/fullstory.aspx?newsitemid=26624/ (accessed 19.08.15)
P. Greiner, S. Evert, F. Baigger, and B. Lang A distributional approach to open questions in market research Comput. Ind. 2015
E. Lloret, and M. Palomar Analysing and evaluating the task of automatic tweet generation: knowledge to business Comput. Ind. 2015
F.C. Albuquerque, M.A. Casanova, H. Lopes, L.R. Redlich, J.A.F. de Macedo, M. Lemos, M.T.M. de Carvalho, and C. Renso A methodology for traffic-related twitter messages interpretation Comput. Ind. 2015
S. Schmidt, S. Schnitzer, and C. Rensing Text classification based filters for a domain-specific search engine Comput. Ind. 2015
L. Tanguy, N. Tulechki, A. Urieli, E. Hermann, and C. Raynal Natural language processing for aviation safety reports: from classification to interactive analysis Comput. Ind. 2015
J.W. Chang, M.C. Lee, and T.I. Wang Integrating a semantic-based retrieval agent into case-based reasoning systems: a case study of an online bookstore Comput. Ind. 2015
P. Martínez, J.L. Martínez, I. Segura-Bedmar, J. Moreno-Schneider, A. Luna, and R. Revert Turning user generated health-related content into actionable knowledge through text analytics services Comput. Ind. 2015
S. Bird NLTK: the natural language toolkit Proceedings of the COLING/ACL on Interactive Presentation Sessions 2006 Association for Computational Linguistics 69 72
M.F. Porter Snowball: A Language for Stemming Algorithms 2001
J.R. Bellegarda Latent semantic mapping: principles & applications Synthesis Lectures on Speech and Audio Processing vol. 3 2007 1 101
S. Evert, T. Proisl, P. Greiner, and B. Kabashi SentiKLUE: updating a polarity classifier in 48 hours SemEval 2014 2014 551
T. Dunning Accurate methods for the statistics of surprise and coincidence Comput. Linguist. 19 1993 61 74
E. Lloret, and M. Palomar Towards automatic tweet generation: a comparative study from the text summarization perspective in the journalism genre Expert Syst. Appl. 40 2013 6624 6630
E. Motta, E. Fernandes, and R. Milidiú F-ext-2.0: a web service for natural language processing PROPOR 2010 27 30
J. Platt, and et al. Fast training of support vector machines using sequential minimal optimization Advances in Kernel Methods: Support Vector Learning vol. 3 1999
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I.H. Witten The Weka data mining software: an update ACM SIGKDD Explorations Newsletter 11 2009 10 18
F. da Costa Albuquerque, M. Casanova, J.A.F. de Macedo, M.T.M. de Carvalho, C. Renso, and et al. A proactive application to monitor truck fleets 2013 IEEE 14th International Conference on Mobile Data Management (MDM) vol. 1 2013 IEEE 301 304
E.R. Fernandes, C.N. Dos Santos, and R.L. Milidiú Latent structure perceptron with feature induction for unrestricted coreference resolution Joint Conference on EMNLP and CoNLL-Shared Task 2012 Association for Computational Linguistics 41 48
S. Schnitzer, S. Schmidt, C. Rensing, and B. Harriehausen-Mühlbauer Combining active and ensemble learning for efficient classification of web documents Polibits 49 2014 39 45
R. Rehurek, Gensim, https://radimrehurek.com/gensim/ (accessed 03.09.15).
R. Rada, H. Mili, E. Bicknell, and M. Blettner Development and application of a metric on semantic nets, Systems IEEE Trans. Man Cybernet. 19 1989 17 30
Z. Wu, and M. Palmer Verbs semantics and lexical selection Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics 1994 Association for Computational Linguistics 133 138
C. Leacock, and M. Chodorow Combining local context and wordnet similarity for word sense identification WordNet: An Electronic Lexical Database vol. 49 1998 265 283
W.B. Dolan, and C. Brockett Automatically constructing a corpus of sentential paraphrases Proc. of IWP 2005
R. Mihalcea, C. Corley, and C. Strapparava Corpus-based and knowledge-based measures of text semantic similarity AAAI vol. 6 2006 775 780
L. Qiu, M.-Y. Kan, and T.-S. Chua Paraphrase recognition via dissimilarity significance classification Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing 2006 Association for Computational Linguistics 18 26
Y. Li, D. McLean, Z. Bandar, J.D. O'shea, K. Crockett, and et al. Sentence similarity based on semantic nets and corpus statistics IEEE Trans. Knowl. Data Eng. 18 2006 1138 1150
J. Oliva, J.I. Serrano, M.D. del Castillo, and Á. Iglesias SyMSS: a syntax-based measure for short-text semantic similarity Data Knowl. Eng. 70 2011 390 405
G. Tsatsaronis, I. Varlamis, and M. Vazirgiannis Text relatedness based on a word thesaurus J. Artif. Intell. Res. 37 2010 1 40
H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan GATE: an architecture for development of robust HLT applications Proceedings of the 40th Annual Meeting on Association for Computational Linguistics 2002 Association for Computational Linguistics 168 175
N. Gold, A. Mohan, C. Knight, and M. Munro Understanding service-oriented software IEEE Softw. 21 2004 71 77
P. Helo, M. Suorsa, Y. Hao, and P. Anussornnitisarn Toward a cloud-based manufacturing execution system for distributed manufacturing Comput. Ind. 65 2014 646 656
C. Van Rijsbergen Information Retrieval 1979 Buttersworth London
S. Wubben, E. Krahmer, and A. Van den Bosch Sentence simplification by monolingual machine translation Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, ACL New Brunswick, NJ 2012 1015 1024
A. Ittoo, and G. Bouma Term extraction from sparse, ungrammatical domain-specific documents Expert Syst. Appl. 40 2013 2530 2540
A. Ittoo, and G. Bouma Minimally-supervised extraction of domain-specific part-whole relations using Wikipedia as knowledge-base Data Knowl. Eng. 85 2013 57 79
A. Ittoo, and G. Bouma Minimally-supervised learning of domain-specific causal relations using an open-domain corpus as knowledge base Data Knowl. Eng. 88 2013 142 163
M. Purver, and S. Battersby Experimenting with distant supervision for emotion classification Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics 2012 Association for Computational Linguistics 482 491
V. Venkatesh Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model Inf. Syst. Res. 11 2000 342 365
R.L. Kumar, M.A. Smith, and S. Bannerjee User interface features influencing overall ease of use and personalization Inf. Manage. 41 2004 289 302
M. Bouzeghoub A framework for analysis of data freshness Proceedings of the 2004 International Workshop on Information Quality in Information Systems 2004 ACM 59 67
C.A. Meadows, and C. Fernandez-Gago 7th International Workshop on Security and Trust Management, STM 2011 Copenhagen, Denmark, June 27-28, 2011, Revised Selected Papers, vol. 7170 2012 Springer
S. Petter, W. DeLone, and E. McLean Measuring information systems success: models, dimensions, measures, and interrelationships Eur. J. Inf. Syst. 17 2008 236 263
J. Schmidhuber Deep learning in neural networks: an overview Neural Netw. 61 2015 85 117
Y. LeCun, Y. Bengio, and G. Hinton Deep learning Nature 521 2015 436 444 10.1038/nature14539
D. Chen, and C.D. Manning A fast and accurate dependency parser using neural networks Empirical Methods in Natural Language Processing (EMNLP) 2014
Q.L.I. Sutskever, and O. Vinyals Sequence to sequence learning with neural network Proceedings of the NIPS 2014 Conference 2014
R. Socher Recursive deep models for semantic compositionality over a sentiment Treebank Proceedings of the EMNLP 2013 Conference 2013
T.-H. Wen, M. Gasic, N. Mrkšić, P.-H. Su, D. Vandyke, and S. Young Semantically conditioned LSTM-based natural language generation for spoken dialogue systems Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing 2015 Association for Computational Linguistics Lisbon, Portugal 1711 1721
M. Ma, L. Huang, B. Xiang, and B. Zhou Dependency-based convolutional neural networks for sentence embedding Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) 2015 Association for Computational Linguistics Beijing, China 174 179
J. Gao, P. Pantel, M. Gamon, X. He, and L. Deng Modeling interestingness with deep neural networks Proceedings of the EMNLP 2014 Conference 2014
J. Li, M.-T. Luong, and D. Jurafsky A hierarchical neural autoencoder for paragraphs and documents Proceedings of the ACL 2015
T. Mikolov, W.-t. Yih, and G. Zweig Linguistic regularities in continuous space word representations Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2013 Association for Computational Linguistics Atlanta, Georgia 746 751
J. Pennington, R. Socher, and C.D. Manning GloVe: global vectors for word representation Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014) 2014 1532 1543
M. Tosik, C. Lygteskov Hansen, G. Goossen, and M. Rotaru Word embeddings vs word types for sequence labeling: the curious case of CV parsing Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing 2015 Association for Computational Linguistics Denver, Colorado 123 128
A. Belz, L. Coheur, V. Ferrari, M.-F. Moens, K. Pastra, and I. Vuli Proceedings of the Fourth Workshop on Vision and Language 2015 Association for Computational Linguistics Lisbon, Portugal