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MDP-Parser

The main objective of this project is to find the mention of entities and relation given a natural language question and underlying knowledge graph. It further use a simple index-based linking to link the mentions into the item from the knowledge graph.

Train

Parameters --epochs --dropout --lr --batchsize --k --mode (train/test) --dataset (lcquad/qald_7_ml) --b (number of prev/next words) --checkpoint filename --policy (lstm/bilstm/nn)

Sample run command:

python scripts/execute.py --epochs 50  --dropout 0.1 --lr 0.0001 --batchsize 1 --k 10 --mode train --dataset qald_7_ml --b 1 --checkpoint tmp --policy nn

Cite

If you would use the codebase, please cite our paper as well:

@article{zafar2019mdp,
  title={Distantly Supervised Question Parsing},
  author={Zafar, Hamid and Tavakol, Maryam and Lehmann, Jens},
  booktitle={European Conference on Artificial Intelligence},
  year={2020}
}

Live Demo

Coming soon! Stay tuned!

License

This program is subject to the terms of the Apache License Version 2.0.

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MDP-Parser, A shallow parser for KGQA

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