Skip to content

run the rstWeb RST annotation tool (with added REST API) in a Docker container

Notifications You must be signed in to change notification settings

NLPbox/rstweb-service

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

rstweb-service

This docker container allows you to build, install and run the rstWeb Rhetorical Structure Theory annotation tool (Zeldes 2016) in a docker container.

Specifically, this will run the version 2.0.3 of rstWeb with an additional REST API for importing, exporting and converting rs3 files (to PNG images).

Unlike rstweb-docker, this container runs the "local" version of rstWeb.

Note: The rs3 files you upload, edit and store in rstWeb will only exist as long as the container is running. In order to persist the data, you would need to bind-mount an empty SQLite database into /opt/rstweb/rstweb.db.

Usage

To build, install and run rstweb-service, simply type:

docker run -p 9000:8080 -ti nlpbox/rstweb-service

Inside the container, rstWeb (and the added rstweb-service REST API) listens on port 8080, but we'll map it to port 9000 of our host system (localhost / 127.0.0.1).

Now, you can create a project called rst-workbench in the running rstWeb instance. We'll use httpie for the examples.

http POST "http://127.0.0.1:9000/api/projects/rst-workbench"

To list the currently stored projects, call:

http GET "http://127.0.0.1:9000/api/projects"

To import the rs3 file /path/to/source.rs3 into the project rst-workbench and store it there under the name target.rs3, type:

http --form POST "http://127.0.0.1:9000/api/documents/rst-workbench/target.rs3" \
    rs3_file@/path/to/source.rs3

Afterwards, you can open the document target.rs3 in your browser under the URL [http://127.0.0.1:9000/open] and edit it in the Structure editor. Don't forget to save your changes using the save button!

You can either download the edited file by clicking on the </> xml button in the Structure editor or retrieve it programmatically (this is what rst-workbench does under the hood):

http GET "http://127.0.0.1:8080/api/documents/rst-workbench/target.rs3"

Citation

Zeldes, Amir (2016). rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations. In: Proceedings of NAACL-HLT 2016 System Demonstrations. San Diego, CA, 1-5.

About

run the rstWeb RST annotation tool (with added REST API) in a Docker container

Resources

Stars

Watchers

Forks

Packages

No packages published