Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations

This repository contains the official implementation of the paper:

Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations

If you use any source codes or the datasets included in this toolkit in your work, please cite the following paper. The bibtex are listed below:

@inproceedings{bihani-rayz-2021-low,
    title = "Low Anisotropy Sense Retrofitting ({LAS}e{R}) : Towards Isotropic and Sense Enriched Representations",
    author = "Bihani, Geetanjali  and
      Rayz, Julia",
    booktitle = "Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.deelio-1.9",
    pages = "81--95",
}