We extended the PropBank annotation of the SoNaR corpus with FrameNet1.7 frames and frame-elements. The annotation was funded through the Vossen-Spinoza project [Understanding-Language-By-Machines][http://www.understandinglanguagebymachines.org].
The goal of this repository is load the FrameNet annotations on the Dutch corpus SoNaR into Python classes.
Python 3.7 was used to create this project. It might work with older versions of Python.
A number of external modules need to be installed, which are listed in requirements.txt. Depending on how you installed Python, you can probably install the requirements using one of following commands:
pip install -r requirements.txt- corpus: the annotation from each annotator
- lexicon: the derived FrameNet lexicon from the annotations
- report: the annotation report
- scripts: Python modules to load annotations into Python classes
Please call python main.py -h in scripts for information on how to use.
This creates for the annotation of one annotator a dictionary mapping:
- key: (document name, event mention id)
- value: a instance of the Frame class (see *sonar_classes.py)
- Piek Vossen (p.t.j.m.vossen@vu.nl)
- Isa Maks (isa.maks@vu.nl)
- Chantal van Son (c.m.van.son@vu.nl)
- Marten Postma (m.c.postma@vu.nl)
- the mapping in utils.cat_pos2fn_pos is done on a practical basis, it can be expanded.
This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details