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This repository contains python 3.7 code for the EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.
Python 20.50%
Perl 79.50%
banditsum's Introduction
Hi there, I'm David - aka davebulaval
I’m a Ph.D. student, ML researcher, founder of an AI podcast, and an AI consultant!
- I’m working on my academic research, Poutyne, Deepparse and MeaningBERT!
- I’m developing my skills in NLP
- I’m developing my consulting firm with colleagues: Baseline
- I’m developing a bilingual AI podcast: OpenLayer
- I’m developing a bilingual blog site with colleagues: .Layer
- Poutyne: A simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks.
- Deepparse: A state-of-the-art library for parsing multinational street addresses using deep learning.
- notif: A easy-to-use package to send notifications from a Python script.
- Actuarial Symbol: Typesetting actuarial symbols easily and consistently in LaTeX.
- nCopula: Construct and manipulate hierarchical Archimedean copulas with multivariate compound distributions.
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