Awesome

<p align="center"> <h1 align="center"> <img src="./pics/icon/ai.png" width="30" /> AI-Paper-Collector</h1> </p> <p align="center"> <a href="https://img.shields.io/badge/version-v0.1.0-blue"> <img alt="version" src="https://img.shields.io/badge/version-v0.1.0-blue?color=FF8000?color=009922" /> </a> <a > <img alt="Status-building" src="https://img.shields.io/badge/Status-building-blue" /> </a> <a > <img alt="PRs-Welcome" src="https://img.shields.io/badge/PRs-Welcome-red" /> </a> <a href="https://github.com/MLNLP-World/AI-Paper-collector/stargazers"> <img alt="stars" src="https://img.shields.io/github/stars/MLNLP-World/AI-Paper-collector" /> </a> <a href="https://github.com/MLNLP-World/AI-Paper-collector/network/members"> <img alt="FORK" src="https://img.shields.io/github/forks/MLNLP-World/AI-Paper-collector?color=FF8000" /> </a> <a href="https://github.com/MLNLP-World/AI-Paper-collector/issues"> <img alt="Issues" src="https://img.shields.io/github/issues/MLNLP-World/AI-Paper-collector?color=0088ff"/> </a> <br /> </p>

<img src="./pics/icon/motivation.png" width="25" />Motivation

Fully-automated scripts for collecting AI-related papers. Support fuzzy and exact search for paper titles.

demo

<img src="./pics/icon/intro.png" width="25" />Search Categories

- [ACL 2019-2021] [EMNLP 2019-2021] [NAACL 2019-2021] [COLING 2020]
- [CVPR 2019-2021] [ECCV 2020] [ICCV2019] [ACMMM 2019-2021]
- [ICLR 2019-2021] [ICML 2019-2021] [AAAI 2019-2021] [IJCAI 2019-2021]
- [SIGIR 2019-2021] [KDD 2019-2021] [CIKM 2019-2021] [WSDM 2019-2022]
- [WWW 2019-2021] [ECIR 2019-2022]

<img src="https://cdn.jsdelivr.net/gh/LightChen233/blog-img/resource.png" width="25" /> Installation

pip install python-Levenshtein thefuzz beautifulsoup4 requests tqdm

<img src="https://cdn.jsdelivr.net/gh/LightChen233/blog-img/catalogue.png" width="27" /> Usage(v0.1.0)

We provide two usage modes, the first is interactive and the second is command-line. The interactive mode is recommended for the first time users.

python main.py

For command-line usage, you can use the following commands:

# -q, --query: the input query
# -m, --mode: the search mode: fuzzy or exact, default is exact
# -t, --threshold: the threshold for the fuzzy search, default is 50
# -l, --limit: the limit num of the fuzzy search result, default is None
# -c, --conf: the list of the conferences needs to search, default is all
# -o, --output: the output file name, default is None
python cli_main.py --query QUERY \
    [--mode {fuzzy,exact}] \
    [--threshold THRESHOLD] [--limit LIMIT] [--conf CONF] \
    [--output OUTPUT]

E.g.

python cli_main.py -q few-shot -m fuzzy -l 10 -t 10 -c AAAI,ACL -o results.txt

<img src="./pics/icon/folders.png" width="25" />Example

Only 3 steps shown as follows.

enter the keyword query
options (select search mode and conference source interactively)
output path (enter save filename)

[+] Initializing System...
[+] Loading from cache...
[+] Enter your query: few-shot

[+] Select search mode:
	[1] Exact
	[2] Fuzzy
[+] Enter a number between 1 to 2: 2
[+] Enter threshold between 0 and 100 (default: 50): 
[+] Enter limit >= 0 (default: None): 
[+] Enter the list of confs separated by comma
	E.g. "ACL,CVPR" or "AAAI" or enter nothing for all confs
[+] Enter your list of conferences (default: All Confs): SIGIR,WSDM,CIKM 

[+] Search Results:
[=] Only show Top-5, Please Save results to see all.
[1] [CIKM2021] REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
[2] [CIKM2021] Boosting Few-shot Abstractive Summarization with Auxiliary Tasks.
[3] [CIKM2021] Multi-objective Few-shot Learning for Fair Classification.
[4] [CIKM2020] Graph Few-shot Learning with Attribute Matching.
[5] [CIKM2020] Few-shot Insider Threat Detection.

[+] Enter Save filename: 
[+] Writing results to output/fuzzy_None_SIGIR_WSDM_CIKM_few-shot.txt
[+] Writing results Done!

<img src="https://cdn.jsdelivr.net/gh/LightChen233/blog-img/folders.png" width="25" /> How to add new conferences from DBLP

clean the cache

rm -rf cache/cache.json

add new conferences by modifying the conf/dblp_conf.json file

[
    # add the name and dblp_url of the new conf
    {
        "name": "WWW2021",
        "url": "https://dblp.org/db/conf/www/www2021.html"
    },
    ... 
]

run the script

python main.py

<img src="./pics/icon/organizer.png" width="25" />Organizers

<img src="./pics/icon/heart.png" width="25" />Contributors

Thanks to the contributors: