We present CL Scholar, the ACL Anthology knowledge graph miner to facilitate high-quality search and exploration of current research progress in the computational linguistics community. In contrast to previous works, periodically crawling, indexing and processing of new incoming articles is completely automated in the current system. CL Scholar utilizes both textual and network information for knowledge graph construction.
As an additional novel initiative, CL Scholar supports more than 1200 scholarly natural language queries along with standard keyword-based search on constructed knowledge graph. It answers binary, statistical and list based natural language queries.
The current system is deployed at http://cnerg.iitkgp.ac.in/aclakg. We also provide REST API support along with bulk download facility. To know more checkout http://cnerg.iitkgp.ac.in/aclakg/api/
CL Scholar uses a number of open source projects to work properly:
- React JS - JS framework for web apps!
- node.js - evented I/O for the backend
- Twitter Bootstrap - great UI boilerplate for modern web apps
- Express - fast node.js network app framework
- ReCharts - the streaming build system
nodenpm
The whole pipeline is as follow -
MongoDB Database --> NodeJS API Server --> React Frontend
In order to install the website and frontend part
git clone https://github.com/CLScholar/CL-Scholar-Client.gitcd CL-Scholar-Clientnpm installnpm start
In order to install the full pipeline
Set up the database
- Download all the data from https://github.com/CLScholar/data
- Install
MongoDBserver - Create a database with name
acl - Create
authors,papersandconferencescollections and import the downloaded data.
Set up the API server
- Install
python 3.5 pip install nltkgit clone https://github.com/CLScholar/CL-Scholar-Client.gitcd CL-Scholar-Clientnpm installnpm start- Go to
CL-Scholar-Client/src/config.jsand editACL_APIlink.
MIT