37 citations · 69 across the 9 of their papers we have counts for
9 papers
90% F1 Score in Relational Triple Extraction: Is it Real ?
Pratik Saini, Samiran Pal, Tapas Nayak +1
Extracting relational triples from text is a crucial task for constructing knowledge bases. Recent advancements in joint entity and relation extraction models have demonstrated rem…
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
Mayur Patidar, Prayushi Faldu, Avinash Singh +3
When answering natural language questions over knowledge bases, missing facts, incomplete schema and limited scope naturally lead to many questions being unanswerable. While answer…
Enabling human-like task identification from natural conversation
Pradip Pramanick, Chayan Sarkar, Balamuralidhar P +3
A robot as a coworker or a cohabitant is becoming mainstream day-by-day with the development of low-cost sophisticated hardware. However, an accompanying software stack that can ai…
Your instruction may be crisp, but not clear to me!
Pradip Pramanick, Chayan Sarkar, Indrajit Bhattacharya
The number of robots deployed in our daily surroundings is ever-increasing. Even in the industrial set-up, the use of coworker robots is increasing rapidly. These cohabitant robots…
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes
Srikanta Bedathur, Indrajit Bhattacharya, Jayesh Choudhari +1
Social media conversations unfold based on complex interactions between users, topics and time. While recent models have been proposed to capture network strengths between users, u…
Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling
Lavanya Sita Tekumalla, Priyanka Agrawal, Indrajit Bhattacharya
Dirichlet Process(DP) is a Bayesian non-parametric prior for infinite mixture modeling, where the number of mixture components grows with the number of data items. The Hierarchical…
Test Set Selection using Active Information Acquisition for Predictive Models
Sneha Chaudhari, Pankaj Dayama, Vinayaka Pandit +1
In this paper, we consider active information acquisition when the prediction model is meant to be applied on a targeted subset of the population. The goal is to label a pre-specif…
Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media
Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
We study the problem of analyzing influence of various factors affecting individual messages posted in social media. The problem is challenging because of various types of influenc…
Query-time Entity Resolution
I. Bhattacharya, L. Getoor
Entity resolution is the problem of reconciling database references corresponding to the same real-world entities. Given the abundance of publicly available databases that have unr…