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  • ...r-driven learning and natural language processing: A case study in part of speech tagging. Computational Linguistics, 21(4):543-566, December 1995</ref> ...ng its context. This is, in general, a trivial task for the human language processing system, for example consider the following two sentences, each with a diffe
    12 KB (1,892 words) - 05:21, 12 December 2014
  • ...TnT -- A Statistical Part-of-Speech Tagger]. "6th Applied Natural Language Processing Conference". ...In Alexander Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing, 12th International Conference, CICLing 2011, Proceedings, Part I. Lecture
    11 KB (1,408 words) - 12:27, 4 March 2019
  • * Journal: ''[http://www.linguamatica.com Linguamática, Journal of Automatic Processing of Iberian Languages]'' (ISSN 1647-0818) Linguamática, Journal of Automatic Processing of Iberian Languages (ISSN 1647-0818, http://www.linguamatica.com/), is ope
    8 KB (1,069 words) - 10:55, 18 April 2015
  • [[Word sense disambiguation]] (WSD) is an open problem in natural language processing concerned with determining which sense (i.e., meaning) of a word is used in ...d Sense Disambiguation: Algorithms and Applications''], volume 33 of Text, Speech, and Language Technology. Springer, 2006. ISBN 978-1-4020-6870-6.
    11 KB (1,457 words) - 05:42, 12 December 2014
  • ...h generation . Speech mining . Speech recognition . Speech summarization . Speech-based interfaces . Spoken language understanding . Text alignment . Text ca
    25 KB (3,759 words) - 11:08, 18 August 2008
  • ...ocalot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. S ...a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarif
    47 KB (6,476 words) - 07:52, 12 February 2011
  • ...s of which only the first three fields are relevant: the word, the part-of-speech tag assigned by the Brill tagger, and the correct IOB tag ...]. ''Human Language Technologies and Empirical Methods in Natural Language Processing (HLT-EMNLP), 2005''
    5 KB (635 words) - 12:26, 27 August 2015
  • ...ing creative language presents a tremendous challenge for natural language processing (NLP) systems. * indirect speech acts (such as curses, insults, sarcasm, and irony), verbally expressed humo
    14 KB (1,863 words) - 05:13, 25 June 2012
  • == Research Scientist, Natural Language Processing, Educational Testing Service, Princeton, NJ, USA == * '''Title:''' Research Scientist, Natural Language Processing
    45 KB (6,297 words) - 14:42, 22 July 2010
  • problems for a variety of Natural Language Processing tasks, such as (including written text, audio/speech/sound, and video/images/gestures).
    19 KB (2,569 words) - 05:13, 25 June 2012
  • | Machine Learning for Language Processing || Kevin Duh (Nara Institute of Science and Technology), Jason Eisner (John | Spoken Language Processing || Ciprian Chelba (Google Research) || 9, 10
    30 KB (3,749 words) - 21:12, 7 July 2015
  • == Postdoc in Automatic Speech Recognition and Dialog-Centered Natural Language Understanding == * Specialty: Speech recognition, Dialogue, Natural Language Understanding
    67 KB (9,390 words) - 13:37, 12 March 2014
  • == Researcher speech/language processing - AT&T Labs, NJ == engineers are dedicated to solving real problems in speech and language
    77 KB (10,711 words) - 10:47, 15 February 2012
  • * Specialty: Natural Language Processing, Speech Recognition, Machine Learning ...ce ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
    84 KB (11,889 words) - 12:01, 17 March 2013
  • *Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textua ...pically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textua
    82 KB (11,425 words) - 15:04, 9 February 2016
  • ...ce projects, we need to develop the right tools, based on natural language processing. These tools needs to scale to large amounts of text, allow for exploration '''Scientific sector:''' 09/H1 Information processing systems
    98 KB (13,877 words) - 01:48, 19 March 2018
  • ==Internship positions available in Natural Language Processing at Adobe Research== * Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
    87 KB (12,253 words) - 14:54, 13 April 2016
  • ...al linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is espec ==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School
    79 KB (11,155 words) - 11:42, 2 May 2017
  • == Natural Language Processing and Machine Learning Scientist (KTP Fellow) in Manchester, UK == * Title: Natural Language Processing and Machine Learning Scientist (KTP Fellow)
    68 KB (9,497 words) - 06:03, 2 June 2020
  • ...analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with th == Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK ==
    124 KB (17,439 words) - 06:02, 2 June 2020

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