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textgraphs's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @aayushee
  • ๐Ÿ‘€ Iโ€™m interested in Machine Learning, Natural Language Processing.
  • ๐ŸŒฑ Iโ€™m currently pursuing PhD and working on explanation generation for complex question answers.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on implementing deep learning solutions for complex question answering.
  • ๐Ÿ“ซ How to reach me : email - [email protected]

textgraphs's People

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textgraphs's Issues

Add a link to the Textgraphs workshop - and your paper, etc

For example :

Citation

If you found our work helpful in your research, consider citing the following:

@inproceedings{gupta-srinivasaraghavan-2020-explanation,
title = "Explanation Regeneration via Multi-Hop {ILP} Inference over Knowledge Base",
author = "Gupta, Aayushee and
Srinivasaraghavan, Gopalakrishnan",
booktitle = "Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.textgraphs-1.13",
pages = "109--114",
abstract = "Textgraphs 2020 Workshop organized a shared task on {`}Explanation Regeneration{'} that required reconstructing gold explanations for elementary science questions. This work describes our submission to the task which is based on multiple components: a BERT baseline ranking, an Integer Linear Program (ILP) based re-scoring and a regression model for re-ranking the explanation facts. Our system achieved a Mean Average Precision score of 0.3659.",
}

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