LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues

1 code implementation • 1 Mar 2024 • Joe Stacey, Jianpeng Cheng, John Torr, Tristan Guigue, Joris Driesen, Alexandru Coca, Mark Gaynor, Anders Johannsen

Spurred by recent advances in Large Language Models (LLMs), virtual assistants are poised to take a leap forward in terms of their dialogue capabilities.

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries

no code implementations • 20 Feb 2024 • Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen

To address this problem, we handle the task of conversation retrieval based on text summaries of the conversations.

Dialogue State Tracking Retrieval

Intelligent Assistant Language Understanding On Device

no code implementations • 7 Aug 2023 • Cecilia Aas, Hisham Abdelsalam, Irina Belousova, Shruti Bhargava, Jianpeng Cheng, Robert Daland, Joris Driesen, Federico Flego, Tristan Guigue, Anders Johannsen, Partha Lal, Jiarui Lu, Joel Ruben Antony Moniz, Nathan Perkins, Dhivya Piraviperumal, Stephen Pulman, Diarmuid Ó Séaghdha, David Q. Sun, John Torr, Marco Del Vecchio, Jay Wacker, Jason D. Williams, Hong Yu

It has recently become feasible to run personal digital assistants on phones and other personal devices.

Natural Language Understanding

Conversational Semantic Parsing for Dialog State Tracking

1 code implementation • EMNLP 2020 • Jianpeng Cheng, Devang Agrawal, Hector Martinez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Shaona Ghosh, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D Williams, Hong Yu, Diarmuid O Seaghdha, Anders Johannsen

We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog.

Decoder dialog state tracking +1

Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning

no code implementations • WS 2012 • Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Joris Driesen, Hugo Van hamme, Walter Daelemans

Self-Learning Speech Recognition