bib-lookup 0.0.4

A useful tool for looking up Bib entries using DOI, or pubmed ID (or URL), or arXiv ID (or URL).

bib_lookup

A useful tool for looking up Bib entries using DOI, or pubmed ID (or URL), or arXiv ID (or URL).

It is an updated version of https://github.com/wenh06/utils/blob/master/utils_universal/utils_bib.py

NOTE that you should have internet connection to use bib_lookup.

Installation

Run

python -m pip install bib-lookup

or install the latest version in GitHub using

python -m pip install git+https://github.com/DeepPSP/bib_lookup.git

or git clone this repository and install locally via

cd bib_lookup
python -m pip install .

Requirements

• requests
• feedparser
• pandas

Usage Examples

>>> from bib_lookup import BibLookup
>>> bl = BibLookup(align="middle")
>>> res = bl("1707.07183")
@article{wen2017_1707.07183v2,
   author = {Hao Wen and Chunhui Liu},
    title = {Counting Multiplicities in a Hypersurface over a Number Field},
  journal = {arXiv preprint arXiv:1707.07183v2},
     year = {2017},
    month = {7},
}
>>> bl("10.1109/CVPR.2016.90")
@inproceedings{He_2016,
     author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
      title = {Deep Residual Learning for Image Recognition},
  booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
        doi = {10.1109/cvpr.2016.90},
       year = {2016},
      month = {6},
  publisher = {{IEEE}},
}
>>> bl("10.23919/cinc53138.2021.9662801", align="left-middle")
@inproceedings{Wen_2021,
  author    = {Hao Wen and Jingsu Kang},
  title     = {Hybrid Arrhythmia Detection on Varying-Dimensional Electrocardiography: Combining Deep Neural Networks and Clinical Rules},
  booktitle = {2021 Computing in Cardiology ({CinC})},
  doi       = {10.23919/cinc53138.2021.9662801},
  year      = {2021},
  month     = {9},
  publisher = {{IEEE}},
}

Output (Append) to a .bib File

Each time a bib item is successfully found, it will be cached. One can call the save function to write the cached bib items to a .bib file, in the append mode.

>>> from bib_lookup import BibLookup
>>> bl = BibLookup()
>>> bl(["10.1109/CVPR.2016.90", "10.23919/cinc53138.2021.9662801", "DOI: 10.1142/S1005386718000305"]);
>>> len(bl)
3
>>> bl[0]
'10.1109/CVPR.2016.90'
>>> bl.save([0, 2], "path/to/some/file.bib")  # save bib item corr. to "10.1109/CVPR.2016.90" and "DOI: 10.1142/S1005386718000305"
>>> len(bl)
1
>>> bl.pop(0)  # remove the bib item corr. "10.23919/cinc53138.2021.9662801", equivalent to `bl.pop("10.23919/cinc53138.2021.9662801")`
>>> len(bl)
0

Command-line Usage

After installation, one can use bib-lookup in the command line:

bib-lookup 10.1109/CVPR.2016.90 10.23919/cinc53138.2021.9662801 --ignore-fields url doi -i path/to/input.txt -o path/to/output.bib

TODO

1. (DONE) add CLI support;
2. use eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi for PubMed, as in [3];
3. try using google scholar api described in [4] (unfortunately [4] is charged);
4. use Flask to write a simple browser-based UI;

WARNING

Many journals have specific requirements for the Bib entries, for example, the title and/or journal (and/or booktitle), etc. should be capitalized, which could not be done automatically since

• some abbreviations in title should have characters all in the upper case, for example

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

• some should have characters all in in the lower case,

mixup: Beyond Empirical Risk Minimization

• and some others should have mixed cases,

KeMRE: Knowledge-enhanced Medical Relation Extraction for Chinese Medicine Instructions

This should be corrected by the user himself if necessary (which although is rare), and remember to enclose such fields with double curly braces.

Biblatex Cheetsheet

This file downloaded from [6] gives full knowledge about bib entries.

References

1. https://github.com/davidagraf/doi2bib2
2. https://arxiv.org/help/api
3. https://github.com/mfcovington/pubmed-lookup/
4. https://serpapi.com/google-scholar-cite-api
5. https://www.bibtex.com/
6. http://tug.ctan.org/info/biblatex-cheatsheet/biblatex-cheatsheet.pdf