no code implementations • SIGDIAL (ACL) 2021 • Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White
In this paper, we study the utilization of pre-trained language models to enable few-shotNatural Language Generation (NLG) in task-oriented dialog systems.
no code implementations • EMNLP 2021 • Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White
We propose a novel framework to train models to classify acceptability of responses generated by natural language generation (NLG) models, improving upon existing sentence transformation and model-based approaches.
no code implementations • 12 Feb 2024 • Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar
We introduce Lumos, the first end-to-end multimodal question-answering system with text understanding capabilities.
no code implementations • 11 Mar 2021 • Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj
A popular approach to QA is extractive reading comprehension (RC) which finds an answer span in a text passage.
no code implementations • COLING 2020 • Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
In this paper, we present approaches that have helped us deploy data-efficient neural solutions for NLG in conversational systems to production.
no code implementations • EMNLP 2020 • Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj
Multilingual contextual embeddings have demonstrated state-of-the-art performance in zero-shot cross-lingual transfer learning, where multilingual BERT is fine-tuned on one source language and evaluated on a different target language.
1 code implementation • 12 Feb 2020 • Phillip Keung, Wei Niu, Yichao Lu, Julian Salazar, Vikas Bhardwaj
We discuss the problem of echographic transcription in autoregressive sequence-to-sequence attentional architectures for automatic speech recognition, where a model produces very long sequences of repetitive outputs when presented with out-of-domain utterances.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • IJCNLP 2019 • Phillip Keung, Yichao Lu, Vikas Bhardwaj
We report the magnitude of the improvement on the multilingual MLDoc text classification and CoNLL 2002/2003 named entity recognition tasks.
no code implementations • NAACL 2019 • Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj
To test our models, a customer service agent handles live contacts and at each turn we present the top four model responses and allow the agent to select (and optionally edit) one of the suggestions or to type their own.
no code implementations • WS 2018 • Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun
We incorporate an explicit neural interlingua into a multilingual encoder-decoder neural machine translation (NMT) architecture.
no code implementations • 28 Mar 2017 • Yichao Lu, Phillip Keung, Shaonan Zhang, Jason Sun, Vikas Bhardwaj
We describe a prototype dialogue response generation model for the customer service domain at Amazon.