CL Scholar: The ACL Anthology Knowledge Graph Miner

Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee


Abstract
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.
Anthology ID:
N18-5004
Volume:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
16–20
Language:
URL:
https://aclanthology.org/N18-5004
DOI:
10.18653/v1/N18-5004
Bibkey:
Cite (ACL):
Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, and Animesh Mukherjee. 2018. CL Scholar: The ACL Anthology Knowledge Graph Miner. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 16–20, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
CL Scholar: The ACL Anthology Knowledge Graph Miner (Singh et al., NAACL 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/update-css-js/N18-5004.pdf