4 citations · 5 across the 5 of their papers we have counts for
5 papers
Noise in Relation Classification Dataset TACRED: Characterization and Reduction
Akshay Parekh, Ashish Anand, Amit Awekar
The overarching objective of this paper is two-fold. First, to explore model-based approaches to characterize the primary cause of the noise. in the RE dataset TACRED Second, to id…
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
Akshay Parekh, Ashish Anand, Amit Awekar
Large crowd-sourced datasets are often noisy and relation classification (RC) datasets are no exception. Reannotating the entire dataset is one probable solution however it is not…
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Abhay M Shalghar, Ayush Kumar, Balaji Ganesan +3
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems. While there have been efforts towards populating domain specific…
A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh +2
A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for b…
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
Akshay Parekh, Ashish Anand, Amit Awekar
This work addresses two important questions pertinent to Relation Extraction (RE). First, what are all possible relations that could exist between any two given entity types? Secon…