activity
20172021
most citedBuilding a Conversational Agent Overnight with Dialogue Self-Play

160 citations · 245 across the 11 of their papers we have counts for

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Showing cs.CLShow all

10 papers · 1 filter

cs.CL2021

Correcting Automated and Manual Speech Transcription Errors using Warped Language Models

Mahdi Namazifar, John Malik, Li Erran Li +2

Masked language models have revolutionized natural language processing systems in the past few years. A recently introduced generalization of masked language models called warped l…

cs.CL2020★ 6 cited

Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents

Yi-Chia Wang, Alexandros Papangelis, Runze Wang +3

Goal-oriented conversational agents are becoming prevalent in our daily lives. For these systems to engage users and achieve their goals, they need to exhibit appropriate social be…

cs.CL2020★ 11 cited

LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering

Weixin Liang, Feiyang Niu, Aishwarya Reganti +2

The predominant approach to visual question answering (VQA) relies on encoding the image and question with a "black-box" neural encoder and decoding a single token as the answer li…

cs.CL2020

Language Model is All You Need: Natural Language Understanding as Question Answering

Mahdi Namazifar, Alexandros Papangelis, Gokhan Tur +1

Different flavors of transfer learning have shown tremendous impact in advancing research and applications of machine learning. In this work we study the use of a specific family o…

cs.CL2020

Warped Language Models for Noise Robust Language Understanding

Mahdi Namazifar, Gokhan Tur, Dilek Hakkani Tür

Masked Language Models (MLM) are self-supervised neural networks trained to fill in the blanks in a given sentence with masked tokens. Despite the tremendous success of MLMs for va…

cs.CL2019

Flexibly-Structured Model for Task-Oriented Dialogues

Lei Shu, Piero Molino, Mahdi Namazifar +4

This paper proposes a novel end-to-end architecture for task-oriented dialogue systems. It is based on a simple and practical yet very effective sequence-to-sequence approach, wher…