Named-entity recognition

Results: 343



#Item
1

Optimising Selective Sampling for Bootstrapping Named Entity Recognition Markus Becker M . BECKER @ ED . AC . UK Ben Hachey BHACHEY @ INF. ED . AC . UK

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2009-06-30 06:44:51
    2

    Named Entity Recognition: A Literature Survey Rahul Sharnagat 11305R013 June 30, 2014

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    Source URL: www.cfilt.iitb.ac.in

    Language: English - Date: 2014-07-07 03:38:18
      3

      arXiv:1701.09123v1 [cs.CL] 31 JanRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features∗† Rodrigo Agerri‡and German Rigau IXA NLP Group

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      Source URL: arxiv.org

      Language: English - Date: 2017-01-31 20:22:54
        4

        The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition Robert Krovetz Lexical Research Hillsborough, NJ 08844

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        Source URL: lexicalresearch.com

        Language: English - Date: 2011-08-12 12:09:36
          5

          Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists Zornitsa Kozareva Dept. de Lenguajes y Sistemas Inform´aticos University of Alicante Alicante, Spain

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          Source URL: www.kozareva.com

          Language: English - Date: 2013-12-23 02:35:21
            6

            T HE J OHNS H OPKINS U NIVERSITY Nerit: Named Entity Recognition for Informal Text David Etter, Francis Ferraro, Ryan Cotterell, Olivia Buzek, and Benjamin Van Durme T ECHNICAL R EPORT 11

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            Source URL: cs.jhu.edu

            Language: English - Date: 2013-07-05 14:23:41
              7

              Named Entity Recognition with Character-Level Models Dan Klein Joseph Smarr Huy Nguyen

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              Source URL: www.josephsmarr.com

              Language: English - Date: 2007-09-05 22:15:00
                8

                Named Entity Recognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausam and Oren Etzioni Computer Science and Engineering University of Washington Seattle, WA 98125, USA

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                Source URL: pdfs.semanticscholar.org

                - Date: 2015-07-28 21:28:38
                  9

                  Hallym: Named Entity Recognition on Twitter with Induced Word Representation Eun-Suk Yang Hallym University

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                  Source URL: noisy-text.github.io

                  - Date: 2016-08-14 21:11:08
                    10

                    Lattice: Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF Tian TIAN Lattice / 1 Maurice ArnouxMONTROUGE

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                    Source URL: noisy-text.github.io

                    - Date: 2016-08-14 21:11:08
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