In this work, we study dialog-based language learning, where supervision is given naturally and implicitly in the response of the dialog partner during the conversation. We study this setup in two domains: the bAbI dataset of (Weston et al., 2015) and large-scale question answering from (...
Dialog systems, also known as interactive conversational agents, virtual agents or sometimes chatbots, are useful in a wide range of applications ranging from technical support services to language learning tools and entertainment. Recent success in ...
In this paper, we introduce a new approach to interactive image search that enables users to provide feedback via natural language, allowing for more natural and effective interaction. We formulate the task of dialog-based interactive image retrieval as a reinforcement learning problem, and reward ...
Active learning process for spoken dialog systems A large amount of human labor is required to transcribe and annotate a training corpus that is needed to create and update models for automatic speech recognition (ASR) and spoken language understanding (SLU). Active learning enables a r... Dilek...
Learning ArkTS Getting Started with ArkTS ArkTS Syntax (Declarative UI) Basic UI Description State Management Basic Concepts State Management with Page-level Variables State Management with Application-level Variables Dynamic UI Element Building Rendering Control Restriction and Extension...
(SLU) output for the current user turn with the previous information state. We then update the information state accordingly, employing a discriminative machine learning approach. Using a data set collected from our conversational interaction system,...
Deep Reinforcement Learning with a Natural Language Action Space Integrating User and Agent Models: A Deep Task-Oriented Dialogue System A Deep Reinforcement Learning Chatbot 蒙特利尔算法研究实验室(MILA)为参与亚马逊 Alexa 大奖赛而开发的深度强化学习聊天机器人。 MILABOT 能够与人类就流行的闲聊话题进行语音...
but so far machine learning models of turn-taking have used such linguistic information in a limited way. In this paper, we introduce TurnGPT, a transformer-based language model for predicting turn-shifts in spoken dialog. The model has been trained and evaluated on a variety of written and ...
A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems 本文研究了面向任务的会话系统的对话信念状态跟踪问题。最近利用基于transformer的模型来解决这个问题的方法已经取得了很大的成果。然而,训练这些模型是昂贵的,无论是在计算资源还是时间方面。此外,由于大量...
learning curve typically associated with a new technology. For example, in order to emulate a conversation with a real human, a virtual assistant may use a conversational user interface that supports natural language processing to allow the virtual assistant to understand, analyze, and create meaning...