39 citations · 58 across the 7 of their papers we have counts for
7 papers
Exploring Rewriting Approaches for Different Conversational Tasks
Md Mehrab Tanjim, Ryan A. Rossi, Mike Rimer +9
Conversational assistants often require a question rewriting algorithm that leverages a subset of past interactions to provide a more meaningful (accurate) answer to the user's que…
PersonaSAGE: A Multi-Persona Graph Neural Network
Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh +2
Graph Neural Networks (GNNs) have become increasingly important in recent years due to their state-of-the-art performance on many important downstream applications. Existing GNNs h…
CGC: Contrastive Graph Clustering for Community Detection and Tracking
Namyong Park, Ryan Rossi, Eunyee Koh +5
Given entities and their interactions in the web data, which may have occurred at different time, how can we find communities of entities and track their evolution? In this paper,…
Goal-driven Command Recommendations for Analysts
Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti +2
Recent times have seen data analytics software applications become an integral part of the decision-making process of analysts. The users of these software applications generate a…
Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal +3
Data analytics software applications have become an integral part of the decision-making process of analysts. Users of such a software face challenges due to insufficient product a…
Online Diverse Learning to Rank from Partial-Click Feedback
Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh +3
Learning to rank is an important problem in machine learning and recommender systems. In a recommender system, a user is typically recommended a list of items. Since the user is un…