#๐ My BibTeX retrieval code doesn't work as I want it to, rejects paper names that are too correct
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@outer beacon
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Hello can I have some help fixing an issue with my code?,
This is my code:
!pip install scholarly
!pip install pybtex
from scholarly import scholarly
def get_bibtex_citation(paper_title):
# Search for the publication by title
search_query = scholarly.search_pubs(paper_title)
try:
# Get the first result from the search query
publication = next(search_query)
# Fill in the details of the publication
filled_publication = scholarly.fill(publication)
# Get the BibTeX citation for the filled publication
bibtex_citation = scholarly.bibtex(filled_publication)
return bibtex_citation
except StopIteration:
return "No publication found with the given title."
paper_title = "A generalized least-square matrix decomposi" # <----=----{Input Paper Name Into Here}----=----
bibtex_citation = get_bibtex_citation(paper_title)
print(bibtex_citation)
which is built to retrieve BibTeX citation's when given a paper's name. It uses the scholarly/pybtex libraries to achieve this. It's still not very functional as it gets rate-limited incredibly quickly, but that isn't the issue I want help with (yet).
If I run this code, it will produce the output:
No publication found with the given title.
However, if I change the variable string paper_title to "A generalized least-square matrix decompos" instead of ""A generalized least-square matrix decomposition", it will start working.
I've noticed it stops working when if you input the name of the paper into google scholar, it only shows you that 1 paper:
When I use the string "A generalized least-square matrix decompos", it works perfectly fine.
Could I have some guidance on a work around? Because I want to make a program that can fetch BibTeX citations using both exactly and near the paper name.
(Output if I use the less complete paper name: )
@article{allen2014generalized,
abstract = {norm, our decomposition, entitled the generalized least-square matrix decomposition (GMD), often irrelevant, we also regularize our matrix decomposition by adding two-way penalties},
author = {Allen, Genevera I and Grosenick, Logan and Taylor, Jonathan},
journal = {Journal of the American Statistical Association},
number = {505},
pages = {145--159},
pub_year = {2014},
publisher = {Taylor \& Francis},
title = {A generalized least-square matrix decomposition},
venue = {Journal of the American Statistical โฆ},
volume = {109}
}
(Which is the output I want)
@outer beacon
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