A modular annotation system that supports complex, interactive annotation graphs embedded on top of sequences of text. An additional view displays a subgraph of selected connections between words/phrases using an interactive network layout.

TAG was developed by Angus Forbes (UC Santa Cruz) and Kristine Lee (University of Illinios at Chicago), in collaboration with Gus Hahn-Powell, Marco Antonio Valenzuela Escárcega, and Mihai Surdeanu (University of Arizona). Contact angus@ucsc.edu for more information.

If you use TAG in your work, please use the following citation:

@inproceedings{TAG-2018,
    author = {Angus Forbes and Kristine Lee and Gus Hahn-Powell and Marco A. Valenzuela-Escárcega 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'18)},
    year = {2018},
    month = {May},
    date = {7-12},
    address = {Miyazaki, Japan},
    editor = {Sara Goggi and Hélène Mazo},
    publisher = {European Language Resources Association (ELRA)},
    language = {english}
}

A paper describing TAG was accepted to LREC'18. A pre-print can be found at https://arxiv.org/abs/1711.00529

TAG can be built and installed using npm.

npm install git+https://github.com/CreativeCodingLab/TextAnnotationGraphs.git

Tasks are managed with npm scripts.

Assuming you've cloned the repository, simply run npm run all to install dependencies and transpile the source to ES2015.

For convience, you can monitor changes to the library's source (css + js) with the following npm task:

npm run watch