activity
20162024
most citedAsk an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models

3 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024

Textless Dependency Parsing by Labeled Sequence Prediction

Shunsuke Kando, Yusuke Miyao, Jason Naradowsky +1

Traditional spoken language processing involves cascading an automatic speech recognition (ASR) system into text processing models. In contrast, "textless" methods process speech r…

cs.CL2023

Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

Knowing how to end and resume conversations over time is a natural part of communication, allowing for discussions to span weeks, months, or years. The duration of gaps between con…

cs.CL20233 cited

Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

Existing dialogue models may encounter scenarios which are not well-represented in the training data, and as a result generate responses that are unnatural, inappropriate, or unhel…

cs.CL2023

Emergent Communication with Attention

Ryokan Ri, Ryo Ueda, Jason Naradowsky

To develop computational agents that better communicate using their own emergent language, we endow the agents with an ability to focus their attention on particular concepts in th…

cs.CL20162 cited

Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources

Jason Naradowsky, Sebastian Riedel

In order to extract event information from text, a machine reading model must learn to accurately read and interpret the ways in which that information is expressed. But it must al…