27 citations · 153 across the 63 of their papers we have counts for
8 papers · 1 filter
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes
Aravind Reddy, Ryan A. Rossi, Zhao Song +6
In this paper, we introduce the online and streaming MAP inference and learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where data points arrive in an arbi…
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup Rao +4
Many models for undirected graphs are based on factorizing the graph's adjacency matrix; these models find a vector representation of each node such that the predicted probability…
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka +1
Aspect-based sentiment analysis (ABSA) is an NLP task that entails processing user-generated reviews to determine (i) the target being evaluated, (ii) the aspect category to which…
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Victor S. Bursztyn, Jennifer Healey, Nedim Lipka +3
Conversations aimed at determining good recommendations are iterative in nature. People often express their preferences in terms of a critique of the current recommendation (e.g.,…
StreamHover: Livestream Transcript Summarization and Annotation
Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7
With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…
Developing a Conversational Recommendation System for Navigating Limited Options
Victor S. Bursztyn, Jennifer Healey, Eunyee Koh +2
We have developed a conversational recommendation system designed to help users navigate through a set of limited options to find the best choice. Unlike many internet scale system…
Edge: Enriching Knowledge Graph Embeddings with External Text
Saed Rezayi, Handong Zhao, Sungchul Kim +3
Knowledge graphs suffer from sparsity which degrades the quality of representations generated by various methods. While there is an abundance of textual information throughout the…
Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides
Amirreza Shirani, Giai Tran, Hieu Trinh +5
Presentation slides have become a common addition to the teaching material. Emphasizing strong leading words in presentation slides can allow the audience to direct the eye to cert…