This program had scraped the ACL avaliable papers for user to easily look up the paper with keyword and get the relavent information.
Doing the analyics of the ACL paper from all the months(will keep updated) we have also provide the analystics of the recent months of Natural Language Programming topics with the wordcloud.
Clone the repository:
git clone https://github.com/eric-ai-lab/ACLToolBox.git
cd ACLToolBox
To make sure that you have the same environment that the program needs:
pip install -r requirements.txt
We will maintain the newest updates consistently,
(Optional) to get the latest database you can run the scraping.py:
./scraping.py
You can query right out of the box by doing the following:
For querying the database for specific keyword (first letter needs to be capitalized):
./main.py -year [2021-2022|2021(none)] -month [month|all(none)] -keyword [keyword] -csv [y|n]
This will output the title and link of the papers.
If you need additional information, you can add -csv y to save other infomation in a csv file in the current directory.
We have taken all the title of the recent months papers to find the keyword and keyphrase to analyze how often they come up with the paper's topic.
For example, you want to find papers that are related to "Entity Recognition" in all the months in 2021:
./main.py -year 2021 -keyword Entity Recognition -csv y
The result will save in result.csv in the current directory which includes title, abstract, pdf link, and additional software, code.