Rajarshi Haldar


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A Multi-Perspective Architecture for Semantic Code Search
Rajarshi Haldar | Lingfei Wu | JinJun Xiong | Julia Hockenmaier
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

The ability to match pieces of code to their corresponding natural language descriptions and vice versa is fundamental for natural language search interfaces to software repositories. In this paper, we propose a novel multi-perspective cross-lingual neural framework for code–text matching, inspired in part by a previous model for monolingual text-to-text matching, to capture both global and local similarities. Our experiments on the CoNaLa dataset show that our proposed model yields better performance on this cross-lingual text-to-code matching task than previous approaches that map code and text to a single joint embedding space.


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CL Scholar: The ACL Anthology Knowledge Graph Miner
Mayank Singh | Pradeep Dogga | Sohan Patro | Dhiraj Barnwal | Ritam Dutt | Rajarshi Haldar | Pawan Goyal | Animesh Mukherjee
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

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.