Corpora

Results: 826



#Item
31

In-tool Learning for Selective Manual Annotation in Large Corpora Erik-Lˆan Do Dinh† , Richard Eckart de Castilho† , Iryna Gurevych†‡ † Ubiquitous Knowledge Processing Lab (UKP-TUDA) Department of Computer Sci

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Source URL: www.ukp.tu-darmstadt.de

- Date: 2015-06-08 07:56:54
    32

    CS NIPER Annotation-by-query for non-canonical constructions in large corpora Sabine Bartsch Richard Eckart de Castilho, Iryna Gurevych

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    Source URL: www.ukp.tu-darmstadt.de

    - Date: 2012-05-28 14:05:07
      33

      This document is scheduled to be published in the Federal Register onand available online at http://federalregister.gov/a, and on FDsys.gov [Billing CodeP] PENSION BENEFIT GUARANTY CORPORA

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      Source URL: s3.amazonaws.com

      - Date: 2015-06-17 11:15:19
        34

        A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora Makoto Miwa1 Rune Sætre1 Yusuke Miyao1 Jun’ichi Tsujii1,2,3 1 Department of Computer Science, the University of Tokyo, Japan Hongo

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        Source URL: www.aclweb.org

        - Date: 2010-06-14 16:52:33
          35

          Stefan Höfler, Michael Piotrowski∗ Building Corpora for the Philological Study of Swiss Legal Texts We describe the construction of two corpora in the domain of Swiss legal texts: The DS21 corpus is based on the Coll

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          Source URL: www.jlcl.org

          - Date: 2012-10-31 09:39:33
            36

            Building Learner Corpora Made Easy A step-by-step tutorial for building and using learner corpora by Brian Carlstrom and Nathan Price For more information, please visit: http://koreanlearnercorpusblog.blogspot.com/

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            Source URL: dl.dropboxusercontent.com

              37

              Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora Abstract A word’s sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that

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              Source URL: nlp.stanford.edu

              - Date: 2016-09-29 13:28:03
                38

                Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing Matt Post⋆ and Chris Callison-Burch⋆† and Miles Osborne‡ ⋆ Human Langage Technology Center of Excellence, Johns Hopkins University †

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                Source URL: aclweb.org

                - Date: 2012-05-24 07:44:50
                  39

                  Execution Copy SHARED-LOSS AGREEMENT This SHARED-LOSS AGREEMENT (this "Agreement") is made and entered into as of the 19th day of March, 2009 by and between the FEDERAL DEPOSIT INSURANCE CORPORA nON AS RECEIVER FOR INDY

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                  Source URL: www.fdic.gov

                  - Date: 2012-12-27 15:32:23
                    40

                    Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, and Benjamin Van Durme Center for Language and Speech Processing, and

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                    Source URL: www.cs.jhu.edu

                    - Date: 2013-08-07 14:51:18
                      UPDATE