55 citations · 83 across the 7 of their papers we have counts for
11 papers
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Vrindavan Harrison, Lena Reed, Shereen Oraby +1
Neural generation methods for task-oriented dialogue typically generate from a meaning representation that is populated using a database of domain information, such as a table of d…
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi +1
Neural natural language generation (NNLG) from structured meaning representations has become increasingly popular in recent years. While we have seen progress with generating synta…
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2
In this paper we introduce a novel, open domain socialbot for the Amazon Alexa Prize competition, aimed at carrying on friendly conversations with users on a variety of topics. We…
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…
"How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts
Shereen Oraby, Pritam Gundecha, Jalal Mahmud +2
Given the increasing popularity of customer service dialogue on Twitter, analysis of conversation data is essential to understand trends in customer and agent behavior for the purp…
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue
Shereen Oraby, Vrindavan Harrison, Lena Reed +3
The use of irony and sarcasm in social media allows us to study them at scale for the first time. However, their diversity has made it difficult to construct a high-quality corpus…