activity
20092021
most citedGenerating Concise and Readable Summaries of XML Documents

5 citations · 11 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2021★ 2 cited

Tracking entities in technical procedures -- a new dataset and baselines

Saransh Goyal, Pratyush Pandey, Garima Gaur +3

We introduce TechTrack, a new dataset for tracking entities in technical procedures. The dataset, prepared by annotating open domain articles from WikiHow, consists of 1351 procedu…

cs.AI2020★ 1 cited

IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge

Siddhant Arora, Srikanta Bedathur, Maya Ramanath +1

Knowledge Graphs (KGs) extracted from text sources are often noisy and lead to poor performance in downstream application tasks such as KG-based question answering.While much of th…

cs.IR2020★ 1 cited

Aspect-based Academic Search using Domain-specific KB

Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty +1

Academic search engines allow scientists to explore related work relevant to a given query. Often, the user is also aware of the "aspect" to retrieve a relevant document. In such c…

cs.DB2017

Spec-QP: Speculative Query Planning for Joins over Knowledge Graphs

Madhulika Mohanty, Maya Ramanath, Mohamed Yahya +1

Organisations store huge amounts of data from multiple heterogeneous sources in the form of Knowledge Graphs (KGs). One of the ways to query these KGs is to use SPARQL queries over…

cs.IR2017

KlusTree: Clustering Answer Trees from Keyword Search on Graphs

Madhulika Mohanty, Maya Ramanath

Graph structured data on the web is now massive as well as diverse, ranging from social networks, web graphs to knowledge-bases. Effectively querying this graph structured data is…

cs.DS2017★ 1 cited

Sampling and Reconstruction Using Bloom Filters

Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur +1

In this paper, we address the problem of sampling from a set and reconstructing a set stored as a Bloom filter. To the best of our knowledge our work is the first to address this q…