160 citations · 677 across the 69 of their papers we have counts for
11 papers · 1 filter
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh +19
Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tac…
Learning to Navigate the Web
Izzeddin Gur, Ulrich Rueckert, Aleksandra Faust +1
Learning in environments with large state and action spaces, and sparse rewards, can hinder a Reinforcement Learning (RL) agent's learning through trial-and-error. For instance, fo…
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems
Rahul Goel, Shachi Paul, Tagyoung Chung +3
Goal-oriented dialogue systems typically rely on components specifically developed for a single task or domain. This limits such systems in two different ways: If there is an updat…
Multi-task learning for Joint Language Understanding and Dialogue State Tracking
Abhinav Rastogi, Raghav Gupta, Dilek Hakkani-Tur
This paper presents a novel approach for multi-task learning of language understanding (LU) and dialogue state tracking (DST) in task-oriented dialogue systems. Multi-task training…
User Modeling for Task Oriented Dialogues
Izzeddin Gur, Dilek Hakkani-Tur, Gokhan Tur +1
We introduce end-to-end neural network based models for simulating users of task-oriented dialogue systems. User simulation in dialogue systems is crucial from two different perspe…
Resolving Referring Expressions in Images With Labeled Elements
Nevan Wichers, Dilek Hakkani-Tur, Jindong Chen
Images may have elements containing text and a bounding box associated with them, for example, text identified via optical character recognition on a computer screen image, or a na…