activity
20182022
most citedA Systematic Review of Reproducibility Research in Natural Language Processing

82 citations · 85 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL202182 cited

A Systematic Review of Reproducibility Research in Natural Language Processing

Anya Belz, Shubham Agarwal, Anastasia Shimorina +1

Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibili…

cs.CV2020

History for Visual Dialog: Do we really need it?

Shubham Agarwal, Trung Bui, Joon-Young Lee +2

Visual Dialog involves "understanding" the dialog history (what has been discussed previously) and the current question (what is asked), in addition to grounding information in the…

cs.CV20201 cited

Ensemble based discriminative models for Visual Dialog Challenge 2018

Shubham Agarwal, Raghav Goyal

This manuscript describes our approach for the Visual Dialog Challenge 2018. We use an ensemble of three discriminative models with different encoders and decoders for our final su…

cs.CL2018

Char2char Generation with Reranking for the E2E NLG Challenge

Shubham Agarwal, Marc Dymetman, Eric Gaussier

This paper describes our submission to the E2E NLG Challenge. Recently, neural seq2seq approaches have become mainstream in NLG, often resorting to pre- (respectively post-) proces…

cs.CL2018

Improving Context Modelling in Multimodal Dialogue Generation

Shubham Agarwal, Ondrej Dusek, Ioannis Konstas +1

In this work, we investigate the task of textual response generation in a multimodal task-oriented dialogue system. Our work is based on the recently released Multimodal Dialogue (…

cs.CL2018

A Knowledge-Grounded Multimodal Search-Based Conversational Agent

Shubham Agarwal, Ondrej Dusek, Ioannis Konstas +1

Multimodal search-based dialogue is a challenging new task: It extends visually grounded question answering systems into multi-turn conversations with access to an external databas…