A tool for parsing academic papers
Project description
PaperParser
Parses academic paper information from URLs.
This is a project by Winder Research, a Cloud-Native Data Science consultancy.
Installation
pip install paperparser
Usage
CLI
$ paperparser --help
Usage: paperparser [OPTIONS] URL STRATEGY
Parse the bibtex from a URL using the STRATEGY.
Options:
--version Show the version and exit.
--help Show this message and exit.
$ paperparser https://arxiv.org/abs/1812.02900 arxiv
{'title': 'Off-Policy Deep Reinforcement Learning without Exploration', 'journal': 'CoRR', 'volume': 'abs/1812.02900', 'year': '2018', 'url':
'http://arxiv.org/abs/1812.02900', 'archivePrefix': 'arXiv', 'eprint': '1812.02900', 'timestamp': 'Tue, 01 Jan 2019 15:01:25 +0100', 'biburl': 'https://dblp.org/rec/journals/corr/abs-1812-02900.bib', 'bibsource': 'dblp computer science bibliography, https://dblp.org'}
Python
from paperparser import page
p = page.BibTeXPage(url=url, strategy=strategy)
print(p.as_dict())
print(p.abstract())
Strategies
"arxiv"
Parses bibtex from dblp and abstracts directly.
"nips"
Parses bibtex and abstracts directly.
"acm"
Parses bibtex via the doi from scipython and abstracts directly.
Project details
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