activity
20172020
most citedA Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue Modeling

3 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cs.IR20201 cited

Addressing Purchase-Impression Gap through a Sequential Re-ranker

Shubhangi Tandon, Saratchandra Indrakanti, Amit Jaiswal +2

Large scale eCommerce platforms such as eBay carry a wide variety of inventory and provide several buying choices to online shoppers. It is critical for eCommerce search engines to…

cs.IR2019

Influence of Neighborhood on the Preference of an Item in eCommerce Search

Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon +1

Surfacing a ranked list of items for a search query to help buyers discover inventory and make purchase decisions is a critical problem in eCommerce search. Typically, items are in…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2017

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…

cs.CL20173 cited

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…