activity
20182021
most citedTopic-based Evaluation for Conversational Bots

41 citations · 59 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL20213 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.CL20203 cited

Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems

Chien-Wei Lin, Vincent Auvray, Daniel Elkind +10

Goal-oriented dialog systems enable users to complete specific goals like requesting information about a movie or booking a ticket. Typically the dialog system pipeline contains mu…

cs.CL202012 cited

MA-DST: Multi-Attention Based Scalable Dialog State Tracking

Adarsh Kumar, Peter Ku, Anuj Kumar Goyal +2

Task oriented dialog agents provide a natural language interface for users to complete their goal. Dialog State Tracking (DST), which is often a core component of these systems, tr…

cs.CL2019

Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents

Nikolaos Malandrakis, Minmin Shen, Anuj Goyal +3

Data availability is a bottleneck during early stages of development of new capabilities for intelligent artificial agents. We investigate the use of text generation techniques to…

cs.CL2019

Simple Question Answering with Subgraph Ranking and Joint-Scoring

Wenbo Zhao, Tagyoung Chung, Anuj Goyal +1

Knowledge graph based simple question answering (KBSQA) is a major area of research within question answering. Although only dealing with simple questions, i.e., questions that can…

cs.CL2018

Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents

Aditya Siddhant, Anuj Goyal, Angeliki Metallinou

User interaction with voice-powered agents generates large amounts of unlabeled utterances. In this paper, we explore techniques to efficiently transfer the knowledge from these un…