41 citations · 131 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou +1
Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constrai…
Contextual Language Model Adaptation for Conversational Agents
Anirudh Raju, Behnam Hedayatnia, Linda Liu +5
Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under…
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents
Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas
Fast expansion of natural language functionality of intelligent virtual agents is critical for achieving engaging and informative interactions. However, developing accurate models…
Topic-based Evaluation for Conversational Bots
Fenfei Guo, Angeliki Metallinou, Chandra Khatri +3
Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined. We propose to evaluate dialog quality using t…
On Evaluating and Comparing Open Domain Dialog Systems
Anu Venkatesh, Chandra Khatri, Ashwin Ram +10
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over r…