CL Scholar: The ACL Anthology Knowledge Graph Miner
This tool facilitates high-quality search for researchers in computational linguistics, though it is incremental as it builds on existing knowledge graph methods with added automation and query support.
The authors tackled the problem of searching and exploring computational linguistics research by developing CL Scholar, an automated system that constructs a knowledge graph from the ACL Anthology, enabling over 1200 natural language queries and achieving full automation in processing new articles.
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. Our code and data are available at https://github.com/CLScholar.