'Language generation' diaporamas de présentation

Vagueness Facilitates Search

Vagueness Facilitates Search. Kees van Deemter Computing Science University of Aberdeen. Who I am: I. studied logic and philosophy of language University of Amsterdam (PhD) Stanford University (postdoc) worked for Philips Electronics on HCI and Language Technology

924 views • 83 slides

MetaLang

645 views • 43 slides

A Scalable Reinforcement Learning Approach to Error Handling in Spoken Language Interfaces

A Scalable Reinforcement Learning Approach to Error Handling in Spoken Language Interfaces. Dan Bohus www.cs.cmu.edu/~dbohus dbohus@cs.cmu.edu Computer Science Department Carnegie Mellon University Pittsburgh, PA, 15217. problem.

487 views • 31 slides

Spoken Dialogue Systems: Human and Machine

Spoken Dialogue Systems: Human and Machine. Julia Hirschberg CS 4706. Today. Conversational Agents ASR NLU Generation Cooperative Question-Answering Dialogue Representations. Conversational Agents. AKA: Interactive Voice Response Systems Dialogue Systems Spoken Dialogue Systems

316 views • 29 slides

High-quality Speech Translation for Language Learning

High-quality Speech Translation for Language Learning. Chao Wang and Stephanie Seneff June 24, 2004 Spoken Language Systems Group MIT Computer Science and Artificial Intelligence Lab. Outline. Motivation and introduction Component technologies Language understanding Language generation

274 views • 27 slides

MAGIC Seen from the Perspective of RAGS

MAGIC Seen from the Perspective of RAGS. Kathleen R. McKeown Department of Computer Science Columbia University. MAGIC. Multimedia Abstract Generation of Intensive Care data Collaborators: Steven Feiner, Desmond Jordan Shimei Pan, James Shaw, Michelle Zhou

305 views • 24 slides

Multilingual Conversational Interfaces: An NTT-MIT Collaboration

Multilingual Conversational Interfaces: An NTT-MIT Collaboration. Stephanie Seneff Spoken Language Systems Group MIT Laboratory for Computer Science January 13, 2000. Collaborators. James Glass (Co-PI, MIT-LCS) T.J. Hazen (MIT-LCS) Yasuhiro Minami (NTT Cyberspace Labs)

293 views • 18 slides

Equal-party Conversation System for Language Learning

Equal-party Conversation System for Language Learning. Chih-yu Chao <chihyu@mit.edu> (advisor: Stephanie Seneff) April 14 th , 2006 Dialogs on Dialogs Reading Group. Overview. Motivation Approach Implementation Future Work References. Motivation (1 of 3).

266 views • 17 slides

Artificial Intelligence: Natural Language

258 views • 15 slides

Artificial Intelligence: Natural Language

159 views • 15 slides

NLP Tutorial AI with Python | Natural Language Processing

Natural Language Processing is casually dubbed NLP. It is a field of AI that deals with how computers and humans interact and how to program computers to process and analyze huge amounts of natural language data. This faces some challenges like speech recognition, natural language understanding, and natural language generation.

107 views • 10 slides