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Found 6 papers, 1 papers with code
Learning to Retrieve Engaging Follow-Up Queries
The retrieval system is trained on a dataset which contains ~14K multi-turn information-seeking conversations with a valid follow-up question and a set of invalid candidates.
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
The goal of a Question Paraphrase Retrieval (QPR) system is to retrieve equivalent questions that result in the same answer as the original question.
Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering
In this paper, we investigate the challenges of using reinforcement learning agents for question-answering over knowledge graphs for real-world applications.
Efficient Large-Scale Neural Domain Classification with Personalized Attention
In this paper, we explore the task of mapping spoken language utterances to one of thousands of natural language understanding domains in intelligent personal digital assistants (IPDAs).
Efficient Large-Scale Domain Classification with Personalized Attention
In this paper, we explore the task of mapping spoken language utterances to one of thousands of natural language understanding domains in intelligent personal digital assistants (IPDAs).
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK) a large scale Spoken Language Understanding (SLU) Software Development Kit (SDK) that enables developers to extend the capabilities of Amazon's virtual assistant, Alexa.
