simbiber 0.8.1

a tool to fix and simplify bib automatically.

SimBiber: A tool for simplifying bibtex with official info.

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Changelog • Installation • Usage • Example Input and Output • Supported Conferences • Adding a new conference • Contact • Organizers • Contributors

Motivation

We often need to simplify the official bib that consists of many information into a shorter version that only maintains necessary information (e.g., author, title, conference/journal name and etc) due to page limitation.

We introduce SimBiber, a simple tool in Python to simplify them automatically. Hope it's helpful for you.

We also highly recommend another wonderful tool for you Rebiber, which is a tool for normalizing bibtex with official info.

Tips: If you use first Rebiber and then Simbiber, you can get a better experience.

Disclaimer

SimBiber is a fairly new project and it is under active development. We hope that it will be quite useful in a variety of cases, but there is no guarantee that the results it produces will necessarily be strictly compliant with the official specification.

So you'd better check the accuracy of simplified bib files again.

All icons are collected from the Internet, if there is any infringement, please contact us to delete.

Changelog

• 2023.02.33
  • Fix some bugs about with -keep parameter.
• 2021.05.02
  • Fix some bugs about without -keep parameter.
• 2021.05.01
  • Support to customize the keys you want to reserve.
• 2021.04.23
  • Support IJCAI (Survey Track).
  • Unified README.
• 2021.04.11
  • Support to pip install.
  • Simplify input args.
  • Add disclaimer.
• 2021.03.02
  • Fix some bugs if remove duplications.
• 2021.02.15
  • Fix a bug simplify ACL (like EACL) conference to ACL.
  • Support ACL Findings and EMNLP findings.
• 2021.01.21
  • Support to remove duplication if your bib has some bibitems with same title. (automatically choose Conference citation)
  • Fix some bugs about some conferences.
  • Add more categories of conferences. (now support 113 conferences)
• 2021.01.11
  • Fix a bug if output path is the same as input path.
  • Support to remove duplication if your bib has both of arXiv or Conference citation.
  • Support to simplify files by folder.
  • Support to use default output path.
  • Add more categories of conferences. (now support 112 conferences)
• 2021.01.08 We fix a bug if booktitle contains { or } and add more categories of conferences. (now support 105 conferences)
• 2021.01.06 We fix a few minor bugs and add more categories of conferences. (now support 84 conferences)
• 2021.12.31 We build the first version and release it.

Installation

git clone https://github.com/MLNLP-World/Simbiber.git
cd Simbiber/
pip install -e .

OR

pip install simbiber

If you would like to use the latest github version with more bug fixes, please use the first installation method.

Finally, if you run simbiber without any args, you get the following result, then the installation is successful!

Usage(v0.8.0)

simbiber -i [input bib path] -o [output bib path] 

Tips: All path args support absolute and relative paths

simplified	argument	usage
-i	--input_path	The path to the input bib file or directory that you want to simplify.
-o	--output_path	[Optional] The path to the output bib file that you want to save. PLEASE ATTENTION: It only works in simplify single bib file. If output_path==input_path, it will rewrite input file. Without this param, it will be auto filled: If simplifying single bib file, it will rewrite input file; If simplifying bib directory, it will output to ./out dir.
-c	--config_path	[Optional]The path to the mapper config file. The path can be a file directory path, like config or a single file path, like config.json. PLEASE ATTENTION: If you want to simplify a huge bib file, you'd better extract external json config file to achieve satisfactory speed.
-a	--if_append_output	[Optional] Whether append simplified data to output bib file.
-r	--remove_duplicate	[Optional] Whether remove duplication if your bib has both of arXiv or Conference citation. PLEASE ATTENTION: If True, it might cost more time to write simplified bib file. Please keep patient.
-cch	--cache_num	[Optional]The number of bib items you want to simplify at once. PLEASE ATTENTION: If you want to simplify a huge bib file, you'd better change it to achieve satisfactory speed.
-keep	--keep_keys	[Optional]The keys you want to keep in every bib item. The total form is like -keep "pages,doi". NOTE: if raise unrecognized arguments error, it might be better to use --keep_keys

Example Input and Output

An example simplified output entry with the official information (The forms of bibitem like xxx="..." or xxx={...} are both supported):

@inproceedings{li-etal-2019-survey,
    title = "A Sophisticated Survey about Chinese Poem and Beers",
    author = "Li, Bai  and
     Ha, Pi  and
     Jin, Shibai  and
     Xue, Hua  and
     Mao, Tai",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1214",
    doi = "10.18653/v1/D19-1214",
    pages = "2078--2087",
    abstract = "Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely tied and the slots often highly depend on the intent. In this paper, we propose a novel framework for SLU to better incorporate the intent information, which further guiding the slot filling. In our framework, we adopt a joint model with Stack-Propagation which can directly use the intent information as input for slot filling, thus to capture the intent semantic knowledge. In addition, to further alleviate the error propagation, we perform the token-level intent detection for the Stack-Propagation framework. Experiments on two publicly datasets show that our model achieves the state-of-the-art performance and outperforms other previous methods by a large margin. Finally, we use the Bidirectional Encoder Representation from Transformer (BERT) model in our framework, which further boost our performance in SLU task.",
}

An example simplified output entry from the official information:

@inproceedings{li-etal-2019-survey,
    author = {Li, Bai  and
     Ha, Pi  and
     Jin, Shibai  and
     Xue, Hua  and
     Mao, Tai},
    booktitle = {Proc. of EMNLP},
    title = {A Sophisticated Survey about Chinese Poem and Beers},
    year = {2019}
}

Supported Conferences

The config dir contains a list of converted json files of the mapper between official full name and simplified name.

AI

Full Name	Name
Association for the Advance of Artificial Intelligence	AAAI
International Joint Conference on Autonomous Agents and Multiagent Systems	AAMAS
ACM International Conference on Multimedia	ACM MM
Artificial Intelligence and Statistics	AISTATS
International Conference on Algorithmic Learning Theory	ALT
IEEE Congress on Evolutionary Computation	CEC
European Conference on Artificial Intelligence	ECAI
IEEE International Conference on Fuzzy Systems	FUZZ IEEE
Genetic and Evolutionary Computation Conference	GECCO
International Conference on Artificial Neural Networks	ICANN
International Conference on Automated Planning and Scheduling	ICAPS
International Conference on Case-Based Reasoning and Development	ICCBR
International Conference on Neural Information Processing	ICONIP
International Conference on Robotics and Automation	ICRA
International Conference on Tools with Artificial Intelligence	ICTAI
International Joint Conference on Artificial Intelligence	IJCAI
International Joint Conference on Artificial Intelligence (Survey Track)	IJCAI(Survey Track)
International Joint Conference on Neural Networks	IJCNN
International Conference on Intelligent Robots and Systems	IROS
International Conference on Principles of Knowledge Representation and Reasoning	KR
International conference on Knowledge Science, Engineering and Management	KSEM
ACM SIGGRAPH Annual Conference	SIGGRAPH
ACM Symposium on Theory of Computing	STOC
International Conference on Uncertainty in Artificial Intelligence	UAI
Parallel Problem Solving from Nature	PPSN
Pacific Rim International Conference on Artificial Intelligence	PRICAI
International Conference on Technologies and Applications of Artificial Intelligence	TAAI

CV

Full Name	Name
International Conference on 3D Vision	3DV
Asian Conference on Computer Vision	ACCV
ACM International Conference on Multimedia	ACM MM
British machine vision conference	BMVC
International Conference on Computer Vision and Pattern Recogintion	CVPR
European Conference on Computer Vision	ECCV
International Conference on Computer Vision	ICCV
International Conference on Document Analysis and Recognition	ICDAR
IEEE International Conference on Image Processing	ICIP
International conference on multimedia and expo	ICME
International Conference on Pattern Recognition	ICPR
IEEE visualization conference	IEEE VIS
International Conference on Medical Image Computing and Computer Assisted Intervention Society	MICCAI
ACM SIGGRAPH Annual Conference	SIGGRAPH
IEEE Winter Conference on Applications of Computer Vision	WACV

DM

Full Name	Name
Automated Knowledge Base Construction	AKBC
Asia Pacific Web Conference	APWeb
International Conference on Information and Knowledge Management	CIKM
Database Systems for Advanced Applications	DASFAA
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases	ECML-PKDD
IEEE International Conference on Data Engineering	ICDE
IEEE International Conference on Data Mining	ICDM
International Conference on Database Theory	ICDT
ACM SIGKDD Conference on Knowledge Discovery and Data Mining	KDD
Language Resources and Evaluation Conference	LREC
International Conference on Mobile Data Management	MDM
Pacific-Asia Conference on Knowledge Discovery and Data Mining	PAKDD
ACM Symposium on Principles of Database Systems	PODS
The ACM Conference Series on Recommender Systems	RecSys
SIAM International Conference on Data Mining	SDM
ACM SIGMOD international conference on Management of data	SIGMOD
International Conference on Very Large Data Base	VLDB
ACM International Conference on Web Search and Data Mining	WSDM
The Web Conference	WWW
International Conference on Extending DB Technology	EDBT
International Conference on Innovative Data Systems Research	CIDR

IR

Full Name	Name
European Conference on IR Research	ECIR
Extended Semantic Web Conference	ESWC
ACM International Conference on Multimedia Retrieval	ICMR
The ACM SIGIR International Conference on the Theory of Information Retrieval	ICTIR
International Semantic Web Conference	ISWC
International Conference on Research on Development in Information Retrieval	SIGIR

ML

Full Name	Name
Asian Conference on Machine Learning	ACML
International Conference on Artificial Intelligence and Statistics	AISTATS
European Conference on Machine Learning	ECML
International Conference on Learning Representations	ICLR
International Conference on Machine Learning	ICML
Machine Learning for Health	ML4H
Neural Information Processing Systems	NeurIPS
Conference on Uncertainty in Artificial Intelligence	UAI

NLP

Full Name	Name
Asian Chapter of the Association for Computational Linguistics	AACL
Association for Computational Linguistics	ACL
Chinese Computational Linguistics	CCL
International Conference on Computational Linguistics	COLING
Annual Conference on Computational Learning Theory	COLT
Conference on Computational Natural Language Learning	CoNLL
European Chapter of the Association for Computational Linguistics	EACL
Empirical Methods in Natural Language Processing	EMNLP
International Conference on Acoustics, Speech and Signal Processing	ICASSP
International Conference on Document Analysis and Recognition	ICDAR
International Conference on Neural Information Processing	ICONIP
Conference of the International Speech Communication Association	INTERSPEECH
Language Resources and Evaluation Conference	LREC
North American Chapter of the Association for Computational Linguistics	NAACL
Natural Language Processing and Chinese Computing	NLPCC
Workshop on Representation Learning for NLP	RepL4NLP
SIGdial Meeting on Discourse and Dialogue	SIGDIAL
International Workshop on Semantic Evaluation	SemEval
Workshop on Arabic natural language processing	WANLP
Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis	WASSA
Workshop on Online Abuse and Harms	WOAH

Arch

Full Name	Name
International Conference on Architectural Support for Programming Languages and Operating Systems	ASPLOS
USENIX Annul Technical Conference	ATC
Design, Automation & Test in Europe	DATE
European Conference on Computer Systems	EuroSys
Conference on File and Storage Technologies	FAST
High Performance Computer Architecture	HPCA
International Symposium on Computer Architecture	ISCA
IEEE/ACM International Symposium on Microarchitecture	MICRO
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming	PPoPP
International Conference for High Performance Computing, Networking, Storage, and Analysis	SC
ACM Symposium on Cloud Computing	SoCC

System

Full Name	Name
ACM SIGSOFT Symposium on the Foundation of Software Engineering/ European Software Engineering Conference	FSE/ESEC
International Conference on Software Engineering	ICSE
International Symposium on Software Testing and Analysis	ISSTA
USENIX Symposium on Operating Systems Design and Implementations	OSDI
ACM Symposium on Operating Systems Principles	SOSP

Security

Full Name	Name
Annual Computer Security Applications Conference	ACSA
ACM Asia Conference on Computer and Communications Security	AsiaCCS
ACM Conference on Computer and Communications Security	CCS
Dependable Systems and Networks	DSN
European Symposium on Research in Computer Security	ESORICS
European Symposium on Security and Privacy	EuroS&P
International Conference on Information and Communication Security	ICICS
Network and Distributed System Security Symposium	NDSS
International Symposium on Recent Advances in Intrusion Detection	RAID
IEEE Symposium on Security and Privacy	SP
Usenix Security Symposium	USENIX Security

Adding a new conference

You can manually add any conferences from DBLP to config map.

Take ICLR as an example:

• Step 1: Go to DBLP
• Step 2: Find the full name of Conference
• Step 3: Add map to config/ML.json or parserConfig.json(You should specify the config path)

{"International Conference on Learning Representations": "ICLR"}

Contact

Please email Libo Qin or Qiguang Chen to create Github issues here if you have any questions or suggestions.

And we welcome you to join us and update conferences at https://docs.qq.com/sheet/DWFF1aWlVV1hISU12?tab=h2idmj

Organizers

Contributors

Thanks to the contributors: