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

no code implementations • 15 Apr 2021 • Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath

We introduce TechTrack, a new dataset for tracking entities in technical procedures.

IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge

no code implementations • AKBC 2020 • Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma

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 the recent activity is focused on addressing the sparsity of KGs by using embeddings for inferring new facts, the issue of cleaning up of noise in KGs through KG refinement task is not as actively studied.

Knowledge Graphs

Aspect-based Academic Search using Domain-specific KB

no code implementations • 29 Jan 2020 • Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath

Often, the user is also aware of the "aspect" to retrieve a relevant document.

Language Modelling Retrieval

TeKnowbase: Towards Construction of a Knowledge-base of Technical Concepts

1 code implementation • 15 Dec 2016 • Prajna Upadhyay, Tanuma Patra, Ashwini Purkar, Maya Ramanath

In this paper, we describe the construction of TeKnowbase, a knowledge-base of technical concepts in computer science.

Classification General Classification

Natural Language Questions for the Web of Data

no code implementations • EMNLP 2012 • Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum