The Experts below are selected from a list of 192696 Experts worldwide ranked by ideXlab platform
Shuk Fong Chan - One of the best experts on this subject based on the ideXlab platform.
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natural language response generation in mixed initiative dialogs using task Goals and dialog acts
Conference of the International Speech Communication Association, 2003Co-Authors: Helen Meng, Wing Lin Yip, Oi Yan Mok, Shuk Fong ChanAbstract:This paper presents our approach towards natural language response generation for mixed-initiative dialogs in the CUHK Restaurants domain. Our experimental corpus consists of about 4000 customer requests and waiter responses. Every request/response utterance is annotated with its task Goal (TG) and dialog act (DA). The variable pair {TG, DA} is used to represent the dialog state. Our approach involves a set of corpus-derived dialog state transition rules in the form of {TG, DA}request ∆ {TG, DA}response. These rules encode the Communication Goal(s) and initiatives of the request/ response. Another set of hand-designed rules associate each response dialog state with one or more text generation templates. Upon testing, our system parses the input customer request for concept categories and from these infers the TG and DA using trained Belief Networks. Application of the dialog state transition rules and text generation templates automatically generates a (virtual) waiter response. Ten subjects were invited to interact with the system. Performance evaluation based on Grice's maxims gave a mean score of 4 on a five-point Likert scale and a task completion rate of at least 90%.
Miriam Erez - One of the best experts on this subject based on the ideXlab platform.
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leading from different psychological distances a construal level perspective on vision Communication Goal setting and follower motivation
Leadership Quarterly, 2015Co-Authors: Yair Berson, Boas Shamir, Nir Halevy, Miriam ErezAbstract:Abstract How should leaders construct and communicate their messages to most effectively motivate their employees? We offer an integrative framework to address the diverging and complementary nature of two established approaches to employee motivation: Vision Communication and Goal setting. Specifically, while vision Communication involves formulating relatively abstract, far-reaching, and timeless messages, effective Goal setting involves formulating specific, challenging and time-constrained objectives. Building on construal level theory of psychological distance, we argue that the experience of construal fit between the attributes of a message and the attributes of the situation will enhance its motivational effectiveness. We present a framework that addresses when visions and Goals achieve construal fit and explains why and how construal fit leads to increased follower motivation. We discuss different approaches to integrating visions and Goals, propose directions for future research, and illustrate how the notion of construal fit may be used for explaining key organizational phenomena.
Helen Meng - One of the best experts on this subject based on the ideXlab platform.
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natural language response generation in mixed initiative dialogs using task Goals and dialog acts
Conference of the International Speech Communication Association, 2003Co-Authors: Helen Meng, Wing Lin Yip, Oi Yan Mok, Shuk Fong ChanAbstract:This paper presents our approach towards natural language response generation for mixed-initiative dialogs in the CUHK Restaurants domain. Our experimental corpus consists of about 4000 customer requests and waiter responses. Every request/response utterance is annotated with its task Goal (TG) and dialog act (DA). The variable pair {TG, DA} is used to represent the dialog state. Our approach involves a set of corpus-derived dialog state transition rules in the form of {TG, DA}request ∆ {TG, DA}response. These rules encode the Communication Goal(s) and initiatives of the request/ response. Another set of hand-designed rules associate each response dialog state with one or more text generation templates. Upon testing, our system parses the input customer request for concept categories and from these infers the TG and DA using trained Belief Networks. Application of the dialog state transition rules and text generation templates automatically generates a (virtual) waiter response. Ten subjects were invited to interact with the system. Performance evaluation based on Grice's maxims gave a mean score of 4 on a five-point Likert scale and a task completion rate of at least 90%.
James A Tulsky - One of the best experts on this subject based on the ideXlab platform.
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achieving Goal concordant care a conceptual model and approach to measuring serious illness Communication and its impact
Journal of Palliative Medicine, 2018Co-Authors: Justin J Sanders, Randall J Curtis, James A TulskyAbstract:Abstract Background: High-quality care for seriously ill patients aligns treatment with their Goals and values. Failure to achieve “Goal-concordant” care is a medical error that can harm patients and families. Because Communication between clinicians and patients enables Goal concordance and also affects the illness experience in its own right, healthcare systems should endeavor to measure Communication and its outcomes as a quality assessment. Yet, little consensus exists on what should be measured and by which methods. Objectives: To propose measurement priorities for serious illness Communication and its anticipated outcomes, including Goal-concordant care. Methods: We completed a narrative review of the literature to identify links between serious illness Communication, Goal-concordant care, and other outcomes. We used this review to identify gaps and opportunities for quality measurement in serious illness Communication. Results: Our conceptual model describes the relationship between Communication, ...
Yair Berson - One of the best experts on this subject based on the ideXlab platform.
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leading from different psychological distances a construal level perspective on vision Communication Goal setting and follower motivation
Leadership Quarterly, 2015Co-Authors: Yair Berson, Boas Shamir, Nir Halevy, Miriam ErezAbstract:Abstract How should leaders construct and communicate their messages to most effectively motivate their employees? We offer an integrative framework to address the diverging and complementary nature of two established approaches to employee motivation: Vision Communication and Goal setting. Specifically, while vision Communication involves formulating relatively abstract, far-reaching, and timeless messages, effective Goal setting involves formulating specific, challenging and time-constrained objectives. Building on construal level theory of psychological distance, we argue that the experience of construal fit between the attributes of a message and the attributes of the situation will enhance its motivational effectiveness. We present a framework that addresses when visions and Goals achieve construal fit and explains why and how construal fit leads to increased follower motivation. We discuss different approaches to integrating visions and Goals, propose directions for future research, and illustrate how the notion of construal fit may be used for explaining key organizational phenomena.