Search Results for author: Charles Lee

Found 6 papers, 0 papers with code

Adapting Task-Oriented Dialogue Models for Email Conversations

no code implementations19 Aug 2022 Soham Deshmukh, Charles Lee

Additionally, the modular nature of the proposed framework allows plug-and-play for any future developments in both pre-trained language and task-oriented dialogue models.

Intent Detection Natural Language Understanding +1

Privacy-preserving Federated Learning for Residential Short Term Load Forecasting

no code implementations17 Nov 2021 Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee, Gilbert Fridgen

This paper investigates how these requirements can be addressed through a combination of federated learning and privacy preserving techniques such as differential privacy and secure aggregation.

Federated Learning Load Forecasting +1

NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback

no code implementations5 Oct 2021 Ruijie Zhou, Soham Deshmukh, Jeremiah Greer, Charles Lee

Current research in dialogue systems is focused on conversational assistants working on short conversations in either task-oriented or open domain settings.

intent-classification Intent Classification +3

ScopeIt: Scoping Task Relevant Sentences in Documents

no code implementations COLING 2020 Vishwas Suryanarayanan, Barun Patra, Pamela Bhattacharya, Chala Fufa, Charles Lee

Intelligent assistants like Cortana, Siri, Alexa, and Google Assistant are trained to parse information when the conversation is synchronous and short; however, for email-based conversational agents, the communication is asynchronous, and often contains information irrelevant to the assistant.

Entity Extraction using GAN Intent Detection +1

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