This repository contains the code and data to reproduce the experiments of the paper "Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage".
There are three sections of the repository:
- Datasets (Wiki-FbF, Wiki-FbT and 1k-WFB-g) along with the preprocessed Wikipedia and Freebase.
- The code used to generate the dataset, i.e., the HAnDS framework code.
- The code related to the learning models.
Please refer to the individual sections for more details.
Please use the following BibTex code for citing this work.
@InProceedings{abhisheketalAKBC,
title={Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage},
author={Abhishek, Abhishek and Taneja, Sanya Bathla and Malik, Garima and Anand, Ashish and Awekar, Amit},
booktitle = {Proceedings of the 1st Conference of the Automated Knowledge Base Construction},
month = {May},
year = {2019},
address = {Amherst, USA},
publisher = {Automated Knowledge Base Construction},
url = {https://openreview.net/forum?id=HylHE-9p6m}
}