/SDP-Kernel

An Implementation of "Shortest Path Dependency Kernel for Relation Extraction" by R. Bunescu and R. Mooney.

Primary LanguageJupyter Notebook

Shortest Path Dependency Kernel for Relation Extraction

An Implementation of "Shortest Path Dependency Kernel for Relation Extraction" by R. Bunescu and R. Mooney.

Steps to Run

  • Run TwoEntities.ipynb if entries with only two entities are to be considered.
  • Run MultipleEntities.ipynb / MultipleEntities.py if entries with multiple entities are also to be considered.

Citation

Paper

@inproceedings{bunescu-mooney-2005-shortest,
    title = "A Shortest Path Dependency Kernel for Relation Extraction",
    author = "Bunescu, Razvan  and
      Mooney, Raymond",
    booktitle = "Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2005",
    address = "Vancouver, British Columbia, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/H05-1091",
    pages = "724--731",
}

Dataset

@data{SP2/AARXSN_2019,
author = {French, Leon and Lane, Suzanne and Xu, Lydia and Siu, Celia and Kwok, Cathy and Chen, Yigi and Krebs, Claudia and Pavlidis, Paul},
publisher = {Scholars Portal Dataverse},
title = {{Application and evaluation of automated methods to extract neuroanatomical connectivity statements from free text}},
year = {2019},
version = {V1},
doi = {10.5683/SP2/AARXSN},
url = {https://doi.org/10.5683/SP2/AARXSN}
}