knowledgesrl

Thank you for checking out knowledgrsrl, our knowledge-based semantic role labeling implementation! Feel free to report GitHub issues for any question or remarks you might have.

Main entry point is knowledgesrl.py.

To use it, install dependencies

$ pip install -r ./requirements.txt

Install also LIMA and/or SpaCy models:

$ lima_models -i eng
$ spacy download fr_core_news_md

To do SRL, you need a CoNLL representation of a text. Let's suppose it is in the file in.txt. To do that, you can use either LIMA:

$ lima in.conll > out.conll

Or SpaCy:

$ python run_spacy.py --input_file in.txt --model fr_core_news_md > in.conll

Then get SRL instructions with:

$ python src/knowledgesrl.py --help

For example, to annotate with FrameNet a French text, use a parser to generate a ConLL file and then run:

$ python src/knowledgesrl.py --language=fre --frame-lexicon=FrameNet --conll-input=in.conll

This will output the result to the terminal. Use the --conll-output flag to write to a file.

Read the docs!

License : AGPLv3

Copyright (C) 2013-2014 CEA LIST (Guilhem Pujol, Quentin Pradet and contributors)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.