NLTK & Natural Language Generation 2015


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Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com Page 222. Chapter 9 Big Data Driven Natural Language Processing Research and Applications Venkat N. Gudivada?, 1, Dhana Rao†, Vijay V. Raghavan‡ ? East Carolina University, Greenville, North Carolina, USA † Marshall … Cited by 6 Related articles

IoT to enhance understanding of Cultural Heritage: Fedro authoring platform, artworks telling their fables F Marulli – Future Access Enablers of Ubiquitous and Intelligent …, 2015 – Springer … A survey investigating some of the most relevant approaches in the areas of automatic text summarization is presented in [12]. Natural Language Generation (NLG) Systems, applied in CH domain, are investigated in [13]. … Natural Language Toolkit. http://www.nltk.org/. 15. … Cited by 3 Related articles All 2 versions

Problems in current text simplification research: New data can help W Xu, C Callison-Burch… – Transactions of the …, 2015 – tacl.cs.columbia.edu … The better correspondence between the simplified and complex articles and the availability of multiple simplified versions in the Newsela data also contribute to the accuracy of sentence align- ment. 4We use the WordNet lemmatization in the NLTK package: http://www.nltk.org/ … Cited by 10 Related articles All 16 versions

Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing GE Dahl – 2015 – tspace.library.utoronto.ca … The second contribution is a new deep neural network generative model of parsed text. This research enhances our understanding of the challenges in creating statistical models of text and may have an impact on natural language generation applications in the future. … Cited by 3 Related articles All 5 versions

A framework for creating natural language descriptions of video streams MUG Khan, N Al Harbi, Y Gotoh – Information Sciences, 2015 – Elsevier … 3.1. Natural language generation. … Some predicates are derived by combining multiple HLFs, eg, ‘boy’ may be inferred when a ‘human’ is a ‘male’ and a ‘child’. A part of speech (POS) tag is assigned to each HLF using the NLTK 7 (Natural Language Toolkit) POS tagger. … Related articles All 5 versions

Algorithm For Text To Graph Conversion And Summarizing Using Nlp: A New Approach For Business Solutions PYR Jakhotiya, M Chandak – academia.edu … 4, No.4, August 2015 29 would summarize text. It first builds an internal semantic representation and then generates a summary with the help of Natural Language Generation Techniques. … [15] Natural Language Toolkit, Retrieved from http://www.nltk.org [16] Pattern 2.6 … Related articles

An Intelligent Natural Language Conversational System for Academic Advising EM Latorre-Navarro, JG Harris – Editorial Preface, 2015 – Citeseer … computers connected through a local area network. Natural Language Generation A. Language generation in the DM consists of templates containing text, pointers, variables and other control functions. To create the KB, as no … Related articles All 4 versions

Automated Processes for Evaluating the Realism of High-Interaction Honeyfiles B Whitham, T Turner, L Brown – ECCWS2015-Proceedings of the …, 2015 – books.google.com … arXiv preprint arXiv: 1008.0706. Loper, E., & Bird, S.(2002, July). NLTK: The natural language toolkit. … Lexical options in multilingual generation from a knowledge base. In Trends in Natural Language Generation An Artificial Intelligence Perspective (pp. 222-237). … Related articles

Input Seed Features for Guiding the Generation Process: A Statistical Approach for Spanish C Barros, E Lloret – ENLG 2015, 2015 – anthology.aclweb.org … 1 Introduction The task of Natural Language Generation (NLG) comprises a wide range of subtasks which extend from an action planning until its execution (Bate … Furthermore, the stopword’s file used in the ex- perimentation has been obtained from the NLTK software data3. … Related articles All 7 versions

A Heuristic Approach to Factoid Question Generation from Sentence A Das, A Shaw, S Sarkar, T Deb – 2015 – academia.edu … Automatic generation of questions is a challenging and an important research area in natural language generation, potentially useful in intelligent tutoring systems, dialogue systems, educational technologies, instructional … “NLTK: the natural language toolkit.” Proceedings of … Related articles

History Visualization using Information Technology as a Tool VT KiranChaudhari, N Mandlik, H Kedia – History, 2015 – ijeebs.com … in natural language that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation. … NLTK grammar type for each word extraction eg nouns, verbs etc – Anaphora resolution to convert pronouns into nouns … All 2 versions

Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations S Lawless, P Lavin, M Bayomi, JP Cabral… – … on Applications of …, 2015 – Springer … Natural language generation techniques are then used to create a summary that is deemed close to what a human being might create. … Augat, M., Ladlow, M.: An NLTK Package for Lexical-Chain Based Word Sense Disambiguation (2009). 24. … Cited by 1 Related articles All 3 versions

Measuring Performance Outcome of e-Governance Projects through eTaal S Dash, IPS Sethi, OP Gupta – Proceedings of the 2015 2nd International …, 2015 – dl.acm.org … feedbacks of users / clients by summarizing the feedbacks and extracting the sentiments automatically using Natural Language Toolkit (NLTK). … that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation. … All 2 versions

Humor recognition and humor anchor extraction D Yang, A Lavie, C Dyer, E Hovy – … of the 2015 Conference on Empirical …, 2015 – Citeseer … Negative (Positive) Polarity: the number of occurrences of all Negative (Positive) words. 7Path Similarity: http://www.nltk.org/howto/ wordnet.html • Weak (Strong) Subjectivity: the number of occurrences of all Weak (Strong) Subjectivity oriented words in a sentence. … Cited by 4 Related articles All 10 versions

Figure8: A novel system for generating and evaluating figurative language S Harmon – … of the Sixth International Conference on …, 2015 – computationalcreativity.net … Within the context of creative natural language generation, a third criterion has been noted: a creative system must gener- ate context-appropriate … these associations are found by mining existing literary corpora (Hart 2014) for instances of the vehicle and using NLTK’s parts-of … Cited by 4 Related articles All 4 versions

Foreebank: Syntactic analysis of customer support forums R Kaljahi, J Foster, J Roturier, C Ribeyre… – … on Empirical Methods …, 2015 – hal.inria.fr … (2011) or separate a la Dickin- son and Ragheb (2009). 6http://www.nltk.org/ Page 6. … 2011. Helping Our Own: The HOO 2011 Pilot Shared Task. In Pro- ceedings of the 13th European Workshop on Natural Language Generation (ENLG), pages 242–249. … Cited by 3 Related articles All 19 versions

Kannada Named Entity Recognition and Classification using conditional Random Fields S Amarappa… – Emerging Research in …, 2015 – ieeexplore.ieee.org … Natural Language Processing (NLP) has many tasks: Natural Language Understanding (NLU) and Natural Language Generation (NLG) [1], automatic … sequence tagged_test_sequence = [] # Output tagged sequence Result1 = Result[0] for i in Rewsult1: l = (nltk.tag.tuple2str(i …

Content-based Tweets Semantic Clustering and Propagation MA Michalakos – 2015 – repository.ihu.edu.gr Page 1. I Content-based Tweets Semantic Clustering and Propagation Marios Aristotelis Michalakos SID: 3301130014 SCHOOL OF SCIENCE & TECHNOLOGY A thesis submitted for the degree of Master of Science (MSc) in Information and Communication Systems … Related articles

Kannada named entity recognition and classification (nerc) based on multinomial na\” ive bayes (mnb) classifier S Amarappa, SV Sathyanarayana – arXiv preprint arXiv:1509.04385, 2015 – arxiv.org … Natural Language Processing (NLP) has two major tasks: Natural Language Understanding (NLU) and Natural Language Generation (NLG) Liddy (2001) [1]. NLU deals with machine reading comprehension ie, the level of understanding of a text or … (http://www.nltk.org/book … Related articles All 3 versions

Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu – arXiv preprint arXiv: …, 2015 – arxiv.org … development/test splits. To learn the models in this 9Note that we pre-processed the training data with the tokenizer from Stanford CoreNLP (Manning et al., 2014) rather than the included NLTK (Bird et al., 2009) tokenizer. We found that … Cited by 18 Related articles All 2 versions

Reformulation Strategies of Repeated References in the Context of Robot Perception Errors in Situated Dialogue N Schutte, J Kelleher, B Mac Namee – 2015 – arrow.dit.ie … There has, however, been some prior research on problems arising from perceptual differences in natural language generation. … Reasoning The basic natural language processing pipeline of the toy block system involves: (1) parsing the user input (using the NLTK parser [30 … Related articles All 2 versions

Typing relations in distributional thesauri O Ferret – Language Production, Cognition, and the Lexicon, 2015 – Springer … Indeed, it is related to the psycholinguistic problem of expressing concepts into words, a problem that was addressed centrally by the work of Michael Zock since many years through different viewpoints, from Natural Language Generation (NLG) (Zock 1996) to the study of the tip … Cited by 6 Related articles All 3 versions

[BOOK] Speech and Language Technology for Language Disorders K Beals, D Dahl, R Fink, M Linebarger – 2015 – books.google.com … 33 Where could it help? 34 Limits of current systems 34 Availability of TTS systems 36 Natural language generation 37 What is natural language generation? 37 Where could natural language generation help? 37 Text simplification 38 What is text simplification? … Related articles All 2 versions

Towards Universal Paraphrastic Sentence Embeddings JWMBK Gimpel, K Livescu – arXiv preprint arXiv: …, 2015 – pdfs.semanticscholar.org … 10Note that we pre-processed the training data with the tokenizer from Stanford CoreNLP (Manning et al., 2014) rather than the included NLTK (Bird et al., 2009) tokenizer. We found that doing so significantly im- proves the performance of the skip-thought vectors. … Related articles All 4 versions

A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption PS Kumar – 2015 – researchgate.net Page 1. Accepted Manuscript A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption EV Vinu, P. Sreenivasa Kumar PII: S1570-8268(15)00047-5 DOI: http://dx.doi … Related articles

Visual word2vec (vis-w2v): Learning visually grounded word embeddings using abstract scenes S Kottur, R Vedantam, JMF Moura, D Parikh – arXiv preprint arXiv: …, 2015 – arxiv.org … We then explain the methods and baselines we compare to for each task and discuss some design choices. For text tokeniza- tion, we use the NLTK toolkit. We implement vis-w2v in the same framework as the Google C implementation of word2vec3. 5.1. … Cited by 3 Related articles All 3 versions

Characterisation of surgeries beyond billing codes G Kennedy, BG Luxan – 2015 – researchonline.mq.edu.au Page 1. Masters of Research – Year 2 Project Characterisation of surgeries beyond billing codes Faculty of Medicine and Health Sciences October 9th 2015 Author: Georgina Kennedy mq43913202 Supervisor: Dr. Blanca Gallego Luxan1 …

Exploring machine learning design options in discourse parsing W Liao – 2015 – open.library.ubc.ca Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada. Related articles All 2 versions

Statistical parsing by machine learning from a classical Arabic treebank K Dukes – arXiv preprint arXiv:1510.07193, 2015 – arxiv.org … 35 LDC Linguistic Data Consortium 24 MSA Modern Standard Arabic 2 NLG Natural Language Generation 166 NLP Natural Language Processing 45 NLTK Natural Language Toolkit 233 NS Nominal Sentence 118 OOP Object Oriented Programming 67 POS Part of Speech 5 … Cited by 11 Related articles All 4 versions

Mining User Reviews from Mobile Applications for Software Evolution E Guzmán – 2015 – mediatum.ub.tum.de Page 1. Mining User Reviews from Mobile Applications for Software Evolution Emitzá Guzmán Faculty of Informatics Technische Universität München October 2015 Page 2. Technische Universität München Fakultät für Informatik Lehrstuhl für Angewandte Softwaretechnik …

On the Helmholtz Principle for Text Mining B Dadachev – 2015 – orca-mwe.cf.ac.uk Page 1. A thesis submitted in partial fulfilment of the requirement for the degree of Doctor of Philosophy On the Helmholtz Principle for Text Mining Boris Dadachev School of Mathematics, Cardiff University & Hewlett-Packard Laboratories, Bristol October 2015 Page 2. i … Related articles All 4 versions

RST-style discourse parsing and its applications in discourse analysis VW Feng – 2015 – cs.toronto.edu Page 1. RST-Style Discourse Parsing and Its Applications in Discourse Analysis by Vanessa Wei Feng A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science University of Toronto … Cited by 7 Related articles All 17 versions