TextImager

About
More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution. However, the usage of established NLP frameworks is often hampered for several reasons: in most cases, they require basic to sophisticated programming skills, interfere with interoperability due to using non-standard I/O-formats and often lack tools for visualizing computational results. This makes it difficult especially for humanities scholars to use such frameworks. In order to cope with these challenges, we present TextImager, a UIMA-based framework that offers a range of NLP and visualization tools by means of a user-friendly GUI. Using TextImager requires no programming skills.

About TextImagerUsing TextImager

Total: 2

2017 (1)

  • T. Uslu, W. Hemati, A. Mehler, and D. Baumartz, “TextImager as a Generic Interface to R,” in Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 2017. Accepted
    [BibTeX]

    @inproceedings{Uslu:Hemati:Mehler:Baumartz:2017,
     author={Tolga Uslu and Wahed Hemati and Alexander Mehler and Daniel Baumartz},
     title={{TextImager} as a Generic Interface to {R}},
     booktitle={Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017)},
     year={2017},
     location={Valencia, Spain},
     note={Accepted}
    }

2016 (1)

  • W. Hemati, T. Uslu, and A. Mehler, “TextImager: a Distributed UIMA-based System for NLP,” in Proceedings of the COLING 2016 System Demonstrations, 2016.
    [BibTeX]

    @inproceedings{Hemati:Uslu:Mehler:2016,
    author={Wahed Hemati and Tolga Uslu and Alexander Mehler},
    title={TextImager: a Distributed UIMA-based System for NLP},
    booktitle={Proceedings of the COLING 2016 System Demonstrations},
    year={2016},
    location={Osaka, Japan},
    organization={Federated Conference on Computer Science and Information Systems}
    }

Total: 2

2016 (2)

  • [PDF] A. Mehler, T. Uslu, and W. Hemati, “An Image-driven Approach to Differential Diagnosis,” in Proceedings of the 5th Workshop on Vision and Language (VL’16) hosted by the 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, 2016.
    [BibTeX]

    @inproceedings{Mehler:Uslu:Hemati:2016,
        title={An Image-driven Approach to Differential Diagnosis},
        author={Alexander Mehler and Tolga Uslu and Wahed Hemati},
        booktitle={Proceedings of the 5th Workshop on Vision and Language (VL'16) hosted by the 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin},
        pdf = {https://aclweb.org/anthology/W/W16/W16-3212.pdf},
        year={2016},
    }
  • [http://dh2016.adho.org/abstracts/250] A. Mehler, B. Wagner, and R. Gleim, “Wikidition: Towards A Multi-layer Network Model of Intertextuality,” in Proceedings of DH 2016, 12-16 July, 2016.
    [Abstract] [BibTeX]

    The paper presents Wikidition, a novel text mining tool for generating online editions of text corpora. It explores lexical, sentential and textual relations to span multi-layer networks (linkification) that allow for browsing syntagmatic and paradigmatic relations among the constituents of its input texts. In this way, relations of text reuse can be explored together with lexical relations within the same literary memory information system. Beyond that, Wikidition contains a module for automatic lexiconisation to extract author specific vocabularies. Based on linkification and lexiconisation, Wikidition does not only allow for traversing input corpora on different (lexical, sentential and textual) levels. Rather, its readers can also study the vocabulary of authors on several levels of resolution including superlemmas, lemmas, syntactic words and wordforms. We exemplify Wikidition by a range of literary texts and evaluate it by means of the apparatus of quantitative network analysis.
    @InProceedings{Mehler:Wagner:Gleim:2016,
      Title =     {Wikidition: Towards A Multi-layer Network Model of Intertextuality},
      Author =     {Mehler, Alexander and Wagner, Benno and Gleim, R\"{u}diger},
      Booktitle =     {Proceedings of DH 2016, 12-16 July},
      Year =     2016,
      location =     {Kraków},
      series =     {DH 2016},
      url = {http://dh2016.adho.org/abstracts/250},
      abstract = {The paper presents Wikidition, a novel text mining tool for generating online editions of text corpora. It explores lexical, sentential and textual relations to span multi-layer networks (linkification) that allow for browsing syntagmatic and paradigmatic relations among the constituents of its input texts. In this way, relations of text reuse can be explored together with lexical relations within the same literary memory information system. Beyond that, Wikidition contains a module for automatic lexiconisation to extract author specific vocabularies. Based on linkification and lexiconisation, Wikidition does not only allow for traversing input corpora on different (lexical, sentential and textual) levels. Rather, its readers can also study the vocabulary of authors on several levels of resolution including superlemmas, lemmas, syntactic words and wordforms. We exemplify Wikidition by a range of literary texts and evaluate it by means of the apparatus of quantitative network analysis.}
    }