Summary of the paper

Title Text Annotation Graphs: Annotating Complex Natural Language Phenomena
Authors Angus Forbes, Kristine Lee, Gus Hahn-Powell, Marco A. Valenzuela-Escarcega and Mihai Surdeanu
Abstract This paper introduces a new web-based software tool for annotating text, Text Annotation Graphs, or TAG. It provides functionality for representing complex relationships between words and word phrases that are not available in other software tools, including the ability to define and visualize relationships between the relationships themselves (semantic hypergraphs). Additionally, we include an approach to representing text annotations in which annotation subgraphs, or semantic summaries, are used to show relationships outside of the sequential context of the text itself. Users can use these subgraphs to quickly find similar structures within the current document or external annotated documents. Initially, TAG was developed to support information extraction tasks on a large database of biomedical articles. However, our software is flexible enough to support a wide range of annotation tasks for many domains. Examples are provided that showcase TAG's capabilities on morphological parsing and event extraction tasks.
Topics Knowledge Discovery/Representation, Information Extraction, Information Retrieval, Other
Full paper Text Annotation Graphs: Annotating Complex Natural Language Phenomena
Bibtex @InProceedings{FORBES18.218,
  author = {Angus Forbes and Kristine Lee and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},
  title = "{Text Annotation Graphs: Annotating Complex Natural Language Phenomena}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
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