Pawan Goyal
IIT Kharagpur
Publications27
Citations245
Highly Influential Citations19
- Publications
- Influence
- Pawan Goyal, Laxmidhar Behera, Thomas Martin Mcginnity
- IEEE Transactions on Knowledge and Data…
- 2013
Existing models for document summarization mostly use the similarity between sentences in the document to extract the most salient sentences. The documents as well as the sentences are indexed using… (More)
In this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books. We construct… (More)
During mass convergence events such as natural disasters, microblogging platforms like Twitter are widely used by affected people to post situational awareness messages. These crisis-related messages… (More)
- Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh
- CIKM
- 2015
Microblogging sites like Twitter have become important sources of real-time information during disaster events. A significant amount of valuable situational information is available in these sites;… (More)
- Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee
- IEEE/ACM Joint Conference on Digital Libraries
- 2014
In this paper, we study the problem of predicting future citation count of a scientific article after a given time interval of its publication. To this end, we gather and conduct an exhaustive… (More)
- Mayank Singh, Pradeep Dogga, +5 authors Animesh Mukherjee
- NAACL-HLT
- 2018
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… (More)
The overwhelming number of scientific articles over the years calls for smart automatic tools to facilitate the process of literature review. Here, we propose for the first time a framework of… (More)
In this paper, we build a generic opinion-fact classifier to detect opinions and facts from online news articles and social media datasets such as Youtube comments and idiom hashtags. We further use… (More)
The use of microblogging platforms such as Twitter during crises has become widespread. More importantly, information disseminated by affected people contains useful information like reports of… (More)
The rate at which nodes in evolving social networks acquire links (friends, citations) shows complex temporal dynamics. Preferential attachment and link copying models, while enabling elegant… (More)