activity
20182021
most citedPyText: A Seamless Path from NLP research to production

16 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20215 cited

Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding

Suyoun Kim, Abhinav Arora, Duc Le +4

Word Error Rate (WER) has been the predominant metric used to evaluate the performance of automatic speech recognition (ASR) systems. However, WER is sometimes not a good indicator…

cs.CL2021

El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing

Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda +2

Being able to parse code-switched (CS) utterances, such as Spanish+English or Hindi+English, is essential to democratize task-oriented semantic parsing systems for certain locales.…

cs.CL2020

MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark

Haoran Li, Abhinav Arora, Shuohui Chen +3

Scaling semantic parsing models for task-oriented dialog systems to new languages is often expensive and time-consuming due to the lack of available datasets. Available datasets su…

cs.CL20192 cited

Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog

Varun Gangal, Abhinav Arora, Arash Einolghozati +1

The task of identifying out-of-domain (OOD) input examples directly at test-time has seen renewed interest recently due to increased real world deployment of models. In this work,…

cs.CL201816 cited

PyText: A Seamless Path from NLP research to production

Ahmed Aly, Kushal Lakhotia, Shicong Zhao +7

We introduce PyText - a deep learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of se…