PPT-User Interactions in Spoken Dialog systems

Lecture 20 Spoken Language Processing Prof Andrew Rosenberg User interaction Rules of HumanHuman Conversation Turntaking Speech Acts Grounding Dialogue Management in SDS Types of Dialogue Management . Biology 10(B). Learning objectives. Identify . major systems in plants. Describe the interactions that occur among systems to carry out vital plant functions. Interactions Among Plant Systems. Organ systems:. Suvash . Sedhain. , Scott . Sanner. , . Lexing. . Xie. , Riley Kidd, . Khoi. -Nguyen Tran, Peter Christen. Australian National University. NICTA. Like/Dislike?. Friends. Liked U’s Video. Justin . MODELS, description . languages and notations. Lecture 5. Agenda. Dialog models. Seeheim. Model. Arch/Slinky Model. MVC. PAC Model. Dialog . notations. Single-threaded dialog. Multiple-threaded dialog. Joshua Gordon. CS4706. 1. Outline. Goals of an SDS architecture. Research challenges. Practical considerations. An end-to-end tour of a real world SDS. 2. SDS Architectures. Software abstractions that . 12:. Analytic Provenance. November 1. 6. , 2015. SDS235:. Visual Analytics. Note: slide deck adapted from R. Chang. Announcements. Next FP deliverable. : . Needs Assessment: “personas”. Who are you designing for, and what do they need?. Speech and Language Technology. For Dialog-based CALL. Gary Geunbae Lee, POSTECH. Outline. Introduction. 1. Spoken Dialog Systems. 2. 4. PESAA: . Postech. English Speaking Assessment and Assistant. 5. Presenter: Brian Stensrud, Ph.D.. 21 Jan 2016. PAO Approval: 15-ORL110503. The views expressed herein are those of the authors and do not necessarily reflect the official position of the organizations with . INteractions. . (SPIN. ):. Computational Analysis of Manifestations of Power. Thesis Proposal. Vinodkumar Prabhakaran. Dept. of Computer Science, Columbia University, NY. http://www.cs.columbia.edu/~. Svetlana . Stoyanchev. Seminar on SDS, Columbia. 2. /16/. 2015. Dialogue . modeling: . formal . characterization of dialogue, evolving context, and possible/likely . continuations. Theoretical approach . Andrew Maas. Stanford University. Spring 2017 . Lecture 10: Dialogue System Introduction and Frame-Based Dialogue. Original slides by Dan . Jurafsky. Dialog section. May 3: Dialog introduction. Frame based systems. Spoken Language Processing. Prof. Andrew Rosenberg. Overview. Conversational Agents. Automatic Speech Recognition (ASR). Natural Language Understanding (NLU). Generation. Cooperative Question-Answering. and Organization for User-content Interaction. References. : 1. “Spoken Document Understanding and Organization”, IEEE Signal . Processing Magazine, Sept. 2005, Special Issue on Speech Technology. and Organization for User-content Interaction. References. : 1. “Spoken Document Understanding and Organization”, IEEE Signal . Processing Magazine, Sept. 2005, Special Issue on Speech Technology. As spoken natural language dialog systems technology continues to make great strides numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions including problem-solving to help the user carry out a task coherent subdialog movement during the problem-solving process user model usage expectation usage for contextual interpretation and error correction and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.