Anuj Goyal — accepted AI-conference papers

2023

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

Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas +1

ACL 2023industry

Measurement of interaction quality is a critical task for the improvement of large-scale spoken dialog systems. Existing approaches to dialog quality estimation either focus on evaluating the quality of individual turns, or collect dialog-level quality measurements from end users immediately followi…

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2021

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

Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas +25

NAACL 2021system demonstrations

Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Training each component requires annotations which are hard to obtain for every new domain, limiting scalability of such sys…

Cited by 22 Source ↗PDF ↗Scholar ↗

2021

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

Petr Marek, Vishal Ishwar Naik, Anuj Goyal, Vincent Auvray

NAACL 2021industry

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, collecting the annotated OOD data for a given domain is an expensive process. To mitigate this issue, previous works have p…

Cited by 36 Source ↗PDF ↗code ↗Scholar ↗