leonard-thong / SciAnnotate

A Tool for Integrating Weak Labeling Sources for Sequence Labeling
http://sciannotate.dlmat.org
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SciAnnotate - A Tool for Integrating Weak Labeling Sources for Sequence Labeling

Quick start installation: standalone server

First, please note the following:

Run the installation script in “unprivileged” mode

./install.sh -u

Start the standalone server

python standalone.py

You should then be able to access the SciAnnotate server from the address printed out by standalone.py.

Add New Labeling Functions

LABELING_FUNCTION_SET = {"alias": your_new_function}

Release Note Sept.4 2020

Feature:

Release Note Dec.17 2020

Release Note Jan.15 2021

Citing SciAnnotate

If you would like to reference SciAnnotate in a publication, please use:

@software{SciAnnotate2021github,
  author = {Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song },
  title = {SciAnnotate-A Tool for Integrating Weak Labeling Sources for Sequence Labeling},
  url = {http://github.com/robinzixuan/SciAnnotate},
  version = {0.1.4},
  year = {2021},
}