Search Results for author: Chandra Khatri

Found 15 papers, 3 papers with code

Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker

1 code implementation3 Feb 2020 Amol Kelkar, Rohan Relan, Vaishali Bhardwaj, Saurabh Vaichal, Chandra Khatri, Peter Relan

We demonstrate the effectiveness of the re-ranker by applying it to two state-of-the-art text-to-SQL models, and achieve top 4 score on the Spider leaderboard at the time of writing this article.

Text-To-SQL

Joint Contextual Modeling for ASR Correction and Language Understanding

no code implementations28 Jan 2020 Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gokhan Tur

As a baseline approach, we trained task-specific Statistical Language Models (SLM) and fine-tuned state-of-the-art Generalized Pre-training (GPT) Language Model to re-rank the n-best ASR hypotheses, followed by a model to identify the dialog act and slots.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Plato Dialogue System: A Flexible Conversational AI Research Platform

4 code implementations17 Jan 2020 Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gokhan Tur

Plato has been designed to be easy to understand and debug and is agnostic to the underlying learning frameworks that train each component.

Spoken Dialogue Systems

Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

no code implementations WS 2019 Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tur

Having explicit feedback on the relevance and interestingness of a system response at each turn can be a useful signal for mitigating such issues and improving system quality by selecting responses from different approaches.

Chatbot Open-Domain Dialog +1

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

no code implementations27 Dec 2018 Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh, Jeff Nunn, Yi Pan, Qing Liu, Han Song, Anna Gottardi, Sanjeev Kwatra, Sanju Pancholi, Ming Cheng, Qinglang Chen, Lauren Stubel, Karthik Gopalakrishnan, Kate Bland, Raefer Gabriel, Arindam Mandal, Dilek Hakkani-Tur, Gene Hwang, Nate Michel, Eric King, Rohit Prasad

In the second iteration of the competition in 2018, university teams advanced the state of the art by using context in dialog models, leveraging knowledge graphs for language understanding, handling complex utterances, building statistical and hierarchical dialog managers, and leveraging model-driven signals from user responses.

Knowledge Graphs Management +4

Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision

no code implementations30 Nov 2018 Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal

We train models using publicly available annotated datasets as well as using the proposed large-scale semi-supervised datasets.

Chatbot

Contextual Topic Modeling For Dialog Systems

no code implementations18 Oct 2018 Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Angeliki Metanillou, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal

On annotated data, we show that incorporating context and dialog acts leads to relative gains in topic classification accuracy by 35% and on unsupervised keyword detection recall by 11% for conversational interactions where topics frequently span multiple utterances.

Chatbot Classification +3

Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks

no code implementations20 Jul 2018 Chandra Khatri, Gyanit Singh, Nish Parikh

We use this idea and propose that Seq2Seq models should be started with contextual information at the first time-step of the input to obtain better summaries.

Document Summarization Extractive Summarization +1

Real-time Road Traffic Information Detection Through Social Media

no code implementations16 Jan 2018 Chandra Khatri

In current study, a mechanism to extract traffic related information such as congestion and incidents from textual data from the internet is proposed.

On Evaluating and Comparing Open Domain Dialog Systems

no code implementations11 Jan 2018 Anu Venkatesh, Chandra Khatri, Ashwin Ram, Fenfei Guo, Raefer Gabriel, Ashish Nagar, Rohit Prasad, Ming Cheng, Behnam Hedayatnia, Angeliki Metallinou, Rahul Goel, Shaohua Yang, Anirudh Raju

In this paper, we propose a comprehensive evaluation strategy with multiple metrics designed to reduce subjectivity by selecting metrics which correlate well with human judgement.

Goal-Oriented Dialogue Systems Open-Domain Dialog

Topic-based Evaluation for Conversational Bots

1 code implementation11 Jan 2018 Fenfei Guo, Angeliki Metallinou, Chandra Khatri, Anirudh Raju, Anu Venkatesh, Ashwin Ram

Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined.

Topic Classification

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