Search Results for author: Shubhangi Tandon

Found 8 papers, 1 papers with code

Addressing Purchase-Impression Gap through a Sequential Re-ranker

no code implementations27 Oct 2020 Shubhangi Tandon, Saratchandra Indrakanti, Amit Jaiswal, Svetlana Strunjas, Manojkumar Rangasamy Kannadasan

It is critical for eCommerce search engines to showcase in the top results the variety and selection of inventory available, specifically in the context of the various buying intents that may be associated with a search query.


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

no code implementations10 Aug 2019 Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan

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.


Neural MultiVoice Models for Expressing Novel Personalities in Dialog

no code implementations5 Sep 2018 Shereen Oraby, Lena Reed, Sharath TS, Shubhangi Tandon, Marilyn Walker

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 associated semantics.

Response Generation

Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators

no code implementations WS 2018 Shereen Oraby, Lena Reed, Shubhangi Tandon, T. S. Sharath, Stephanie Lukin, Marilyn Walker

We show that our most explicit model can simultaneously achieve high fidelity to both semantic and stylistic goals: this model adds a context vector of 36 stylistic parameters as input to the hidden state of the encoder at each time step, showing the benefits of explicit stylistic supervision, even when the amount of training data is large.

TNT-NLG, System 1: Using a statistical NLG to massively augment crowd-sourced data for neural generation

no code implementations E2E NLG Challenge System Descriptions 2018 Shereen Oraby, Lena Reed, Shubhangi Tandon, Stephanie Lukin, Marilyn A. Walker

In the area of natural language generation (NLG), there has been a great deal of interest in end-to-end (E2E) neural models that learn and generate natural language sentence realizations in one step.

Ranked #6 on Data-to-Text Generation on E2E NLG Challenge (using extra training data)

Data-to-Text Generation Machine Translation +1

Summarizing Dialogic Arguments from Social Media

no code implementations31 Oct 2017 Amita Misra, Shereen Oraby, Shubhangi Tandon, Sharath TS, Pranav Anand, Marilyn Walker

We show that we can identify the most important arguments by using the dialog context with a best F-measure of 0. 74 for gun control, 0. 71 for gay marriage, and 0. 67 for abortion.

A Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue Modeling

1 code implementation28 Oct 2017 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 in other problem domains.

Language Modelling Machine Translation +2

Topic Based Sentiment Analysis Using Deep Learning

no code implementations28 Oct 2017 Sharath T. S., Shubhangi Tandon

In this paper , we tackle Sentiment Analysis conditioned on a Topic in Twitter data using Deep Learning .

Sentiment Analysis Word Embeddings

Cannot find the paper you are looking for? You can Submit a new open access paper.