Docforia: A Multilayer Document Model

Marcus Klang
Department of computer science, Lund University, Lund, Sweden

Pierre Nugues
Department of computer science, Lund University, Lund, Sweden

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Ingår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Linköping Electronic Conference Proceedings 131:27, s. 226-230

NEALT Proceedings Series 29:27, s. 226-230

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Publicerad: 2017-05-08

ISBN: 978-91-7685-601-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentations are rendered even more complex as, to the best of our knowledge, there is no available tool to visualize easily the results of a processing pipeline. We designed Docforia so that it can store millions of documents and billions of tokens, annotated using different processing tools, that themselves use multiple formats, and compatible with cluster computing frameworks such as Hadoop or Spark. The annotation output, either partial or complete, can then be shared more easily. To validate Docforia, we processed six language versions of Wikipedia: English, French, German, Spanish, Russian, and Swedish, up to semantic role labeling, depending on the NLP tools available for a given language. We stored the results in our document model and we created a visualization tool to inspect the annotation results.


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Richard Eckart de Castilho and Iryna Gurevych. 2014. A broad-coverage collection of portable nlp components for building shareable analysis pipelines. In Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT, pages 1–11, Dublin, Ireland, August. Association for Computational Linguistics and Dublin City University.

David Ferrucci and Adam Lally. 2004. UIMA: an architectural approach to unstructured information processing in the corporate research environment. Natural Language Engineering, 10(3-4):327–348, September.

David Angelo Ferrucci. 2012. Introduction to “This is Watson”. IBM Journal of Research and Development, 56(3.4):1:1 –1:15, May-June.

Rüdiger Gleim, Alexander Mehler, and Hans-Jürgen Eikmeyer. 2007. Representing and maintaining large corpora. In Proceedings of the Corpus Linguistics 2007 Conference, Birmingham (UK).

Ulrich Heid, Helmut Schmid, Kerstin Eckart, and Erhard Hinrichs. 2010. A corpus representation format for linguistic web services: The D-SPIN text corpus format and its relationship with ISO standards. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10), Valletta, Malta, may. European Language Resources Association (ELRA).

Nancy Ide and Keith Suderman. 2014. The Linguistic Annotation Framework: a standard for annotation interchange and merging. Language Resources and Evaluation, 48(3):395–418.

Marcus Klang and Pierre Nugues. 2016a. Langforia: Language pipelines for annotating large collections of documents. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 74–78, Osaka, Japan, December. The COLING 2016 Organizing Committee.

Marcus Klang and Pierre Nugues. 2016b. WIKIPARQ: A tabulated Wikipedia resource using the Parquet format. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2016), pages 4141–4148, Portoro?z, Slovenia, may.

Emanuele Lapponi, Erik Velldal, Stephan Oepen, and Rune Lain Knudsen. 2014. Off-Road LAF: Encoding and processing annotations in NLP workflows. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), Reykjavik, Iceland, may. European Language Resources Association (ELRA).

Mitchell Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313–330.

Rada Mihalcea and Andras Csomai. 2007. Wikify!: Linking documents to encyclopedic knowledge. In Proceedings of the Sixteenth ACM Conference on CIKM, CIKM ’07, pages 233–242, Lisbon, Portugal.

Roberto Navigli and Simone Paolo Ponzetto. 2010. Babelnet: Building a very large multilingual semantic network. In Proceedings of the 48th annual meeting of the ACL, pages 216–225, Uppsala.

Jason R. Smith, Chris Quirk, and Kristina Toutanova. 2010. Extracting parallel sentences from comparable corpora using document level alignment. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL, pages 403–411.

Pontus Stenetorp, Sampo Pyysalo, Goran Topic, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii. 2012. brat: a web-based tool for nlp-assisted text annotation. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 102–107, Avignon, France, April. Association for Computational Linguistics.

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