activity
20182023
most citedSimple Question Answering with Subgraph Ranking and Joint-Scoring

20 citations · 27 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2023

Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs

Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel +4

Measurement of interaction quality is a critical task for the improvement of spoken dialog systems. Existing approaches to dialog quality estimation either focus on evaluating the…

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

OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation

Petr Marek, Vishal Ishwar Naik, Vincent Auvray +1

Detecting an Out-of-Domain (OOD) utterance is crucial for a robust dialog system. Most dialog systems are trained on a pool of annotated OOD data to achieve this goal. However, col…

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★ 20 cited

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★ 4 cited

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…