3 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
Neural MultiVoice Models for Expressing Novel Personalities in Dialog
Shereen Oraby, Lena Reed, Sharath TS +2
Natural language generators for task-oriented dialog should be able to vary the style of the output utterance while still effectively realizing the system dialog actions and their…
Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators
Shereen Oraby, Lena Reed, Shubhangi Tandon +3
Natural language generators for task-oriented dialogue must effectively realize system dialogue actions and their associated semantics. In many applications, it is also desirable f…
Summarizing Dialogic Arguments from Social Media
Amita Misra, Shereen Oraby, Shubhangi Tandon +3
Online argumentative dialog is a rich source of information on popular beliefs and opinions that could be useful to companies as well as governmental or public policy agencies. Com…
A Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue Modeling
Sharath T. S., Shubhangi Tandon, Ryan Bauer
Ever since the successful application of sequence to sequence learning for neural machine translation systems, interest has surged in its applicability towards language generation…
Topic Based Sentiment Analysis Using Deep Learning
Sharath T. S., Shubhangi Tandon
In this paper , we tackle Sentiment Analysis conditioned on a Topic in Twitter data using Deep Learning . We propose a 2-tier approach : In the first phase we create our own Word E…