ChocoWu / DisNER-PtrNet

Codes for the AAAI 2021 paper Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks.

Discontinuous NER with Pointer Network

Codes for the AAAI 2021 paper: Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks.

---

Requirement

python>=1.6
numpy>=1.13.3
torch>=0.4.0

Datasets

Two benchmark datasets for discontinuous NER. Download them and put at ./data folds.

• CADEC
• ShARe13

Data format preprocessing. Please process the annotation as following format:

Upset stomach and the feeling that I may need to throw up .
0,1 ADR|10,11 ADR

See the example data in ./data/examples.

Experiments

To train the parser, run the following script:

python ./framework/main.py

Change the parameters for training, testing.

Citation

@inproceedings{FeiDisNERAAAI21,
  author = {Hao Fei and Donghong Ji and Bobo Li and
            Yijiang Liu and Yafeng Ren and Fei Li},
  title  = {Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  pages = {12785--12793},
  year = {2021},
}

License

The code is released under Apache License 2.0 for Non-commercial use only.