activity
20182024
most citedDialog State Tracking: A Neural Reading Comprehension Approach

23 citations · 129 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Building Goal-Oriented Dialogue Systems with Situated Visual Context

Sanchit Agarwal, Jan Jezabek, Arijit Biswas +3

Most popular goal-oriented dialogue agents are capable of understanding the conversational context. However, with the surge of virtual assistants with screen, the next generation o…

cs.CL2021

Style Control for Schema-Guided Natural Language Generation

Alicia Y. Tsai, Shereen Oraby, Vittorio Perera +5

Natural Language Generation (NLG) for task-oriented dialogue systems focuses on communicating specific content accurately, fluently, and coherently. While these attributes are cruc…

stat.ML2021★ 9 cited

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Junya Chen, Zhe Gan, Xuan Li +10

InfoNCE-based contrastive representation learners, such as SimCLR, have been tremendously successful in recent years. However, these contrastive schemes are notoriously resource de…

cs.CL2021★ 3 cited

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Anish Acharya, Suranjit Adhikari, Sanchit Agarwal +28

Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Trai…

cs.CL2021

Few Shot Dialogue State Tracking using Meta-learning

Saket Dingliwal, Bill Gao, Sanchit Agarwal +3

Dialogue State Tracking (DST) forms a core component of automated chatbot based systems designed for specific goals like hotel, taxi reservation, tourist information, etc. With the…