© W. Wahlster, DFKI IST ´98 Workshop „The Language of Business - the Business of Language“ Vienna, 2 December 1998 German Research Center for Artificial.

Slides:



Advertisements
Similar presentations
IST SEWASIE 16 May 2002 Sonia Bergamaschi Università di Modena e Reggio Emilia.
Advertisements

Customer Relations Management Judith Molka-Danielsen
T.Sharon-A.Frank 1 Internet Resources Discovery (IRD) Shopping Agents.
Enriching the Self-Service Experience Interactive and Intelligent Agent that communicate with web customers in real-time © All Right Reserved.
Principles of Information Systems, Sixth Edition The Internet, Intranets, and Extranets Chapter 7.
Empirical and Data-Driven Models of Multimodality Advanced Methods for Multimodal Communication Computational Models of Multimodality Adequate.
ICT work programme ICT 22 Multimodal and natural computer interaction Aleksandra Wesolowska (Unit G.3 - Data Value Chain) Juan Pelegrin (Unit.
Languages & The Media, 5 Nov 2004, Berlin 1 New Markets, New Trends The technology side Stelios Piperidis
Language Technology for the Semantic Web OntoWeb/AgentLink, Barcelona: February 4 th,2003 OntoWeb SIG5 Language Technology in.
German Research Center for Artificial Intelligence DFKI GmbH Stuhlsatzenhausweg Saarbruecken, Germany phone: ( ) /4162 fax: (+49.
What is the Internet? Internet: The Internet, in simplest terms, is the large group of millions of computers around the world that are all connected to.
Media Coordination in SmartKom Norbert Reithinger Dagstuhl Seminar “Coordination and Fusion in Multimodal Interaction” Deutsches Forschungszentrum für.
© W. Wahlster, DFKI IUI99, International Conference on Intelligent User Interfaces Los Angeles, January 6th, 1999 Agent-based Multimedia Interaction for.
Conversational Agent 1.Two layers: Dialogue manager and Conversational agent. 2.Rule-Based Translator (ELIZA and PARRY) 3. Layer one: Dialogue Manager.
MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan1 The Internet, Intranets, and Extranets Chapter 7.
Make your messaging reliable use it Messaging. A single and global solution Send, receive and process any type of message through the appropriate channel.
13 th Japan-Germany Forum on Information Technology German Research Center for Artificial Intelligence, DFKI GmbH Stuhlsatzenhausweg Saarbruecken,
Lecture 16 Electronic Business (MGT-485). Recap – Lecture 15 B2B Marketing on the Web Search Engines META Tags Search Engine Registration E-Customer Relationship.
Business Computing 550 Lesson 4. Fundamentals of Information Systems, Fifth Edition Chapter 4 Telecommunications, the Internet, Intranets, and Extranets.
WordNet CMS Presented By: Konkani NLP team Goa University.
ACL, ECCAI and the Verbmobil/SmartKom Consortia German Research Center for Artificial Intelligence Stuhlsatzenhausweg 3, Geb Saarbrücken Tel.:
Prof. Wolfgang Wahlster German Research Center for Artificial Intelligence, DFKI GmbH Stuhlsatzenhausweg Saarbruecken, Germany phone: ( )
 E-Commerce (electronic commerce) is the buying and selling of goods and services on the Internet.
Challenges in Information Retrieval and Language Modeling Michael Shepherd Dalhousie University Halifax, NS Canada.
Introduction to NLP.
The speech technology business and evolution scenario 1 Silvia Mosso 1 22/11/2006 Multilinguism and Language Technology a Challenge for Europe workshop.
Brussels, 04 March 2004Workshop „New Communication Paradigms for 2020“ Semantic Routing, Service Discovery and Service Composition Gregor Erbach German.
Some Thoughts on HPC in Natural Language Engineering Steven Bird University of Melbourne & University of Pennsylvania.
DFKI GmbH, , R. Karger Indo-German Workshop on Language Technologies Reinhard Karger, M.A. Deutsches Forschungszentrum für Künstliche Intelligenz.
Interactive Dialogue Systems Professor Diane Litman Computer Science Department & Learning Research and Development Center University of Pittsburgh Pittsburgh,
Language Technology for the Semantic Web OntoWeb5,Florida,October 17 th,2003 WP12: Language Technology Overview SIG5 Paul Buitelaar.
1 © 2002 Avaya Inc. All Rights Reserved. (dc; rev. dk 04/02) PARTNER ® Messaging Solutions.
Machine Translation, Digital Libraries, and the Computing Research Laboratory Indo-US Workshop on Digital Libraries June 23, 2003.
Chapter 4 – Slide 1 Effective Communication for Colleges, 10 th ed., by Brantley & Miller, 2005© Technology and Electronic Communication.
PDA Applications for the Olympic Games. Consolidated collaborations GET & Tsinghua University: –(Prof. Ding Xiaoqing) LingTour Chinese character recognition.
Language Technology I © 2005 Hans Uszkoreit Language Technology I 2005/06 Hans Uszkoreit Universität des Saarlandes and German Research Center for Artificial.
Edinburg March 2001CROSSMARC Kick-off meetingICDC ICDC background and know-how and expectations from CROSSMARC CROSSMARC Project IST Kick-off.
Spoken Dialog Systems and Voice XML Lecturer: Prof. Esther Levin.
Distributed Information Retrieval Using a Multi-Agent System and The Role of Logic Programming.
Reinhard Karger German Research Center for Artificial Intelligence, DFKI GmbH Stuhlsatzenhausweg Saarbruecken, Germany phone: ( )
NLP ? Natural Language is one of fundamental aspects of human behaviors. One of the final aim of human-computer communication. Provide easy interaction.
October 2005CSA3180 NLP1 CSA3180 Natural Language Processing Introduction and Course Overview.
Principles of Information Systems, Sixth Edition 1 The Internet, Intranets, and Extranets Chapter 7.
Translingual Information Management Stephan Busemann Language Technology Lab German Research Center for Artificial Intelligence.
ICT-enabled Agricultural Science for Development Scenarios, Opportunities, Issues by ICTs transforming agricultural science, research & technology generation.
DFKI GmbH, , R. Karger Perspectives for the Indo German Scientific and Technological Cooperation in the Field of Language Technology Reinhard.
M. Liu, T. Stanley, J. Baca and J. Picone Intelligent Electronic Systems Center for Advanced Vehicular Systems Mississippi State University URL:
NATURAL LANGUAGE PROCESSING Zachary McNellis. Overview  Background  Areas of NLP  How it works?  Future of NLP  References.
1 An Introduction to Computational Linguistics Mohammad Bahrani.
Experiences with Undergraduate Research (Natural Language Processing for Educational Applications) Professor Diane Litman University of Pittsburgh.
German Research Center for Artificial Intelligence DFKI GmbH Saarbruecken, Germany WWW: Eurospeech.
Web Designing & Development. Designswala.Com Offers Wide Range Of Services In Various Parameters Like Web Designing, Web Development, Software Development,
NCP meeting Jan 27-28, 2003, Brussels Colette Maloney Interfaces, Knowledge and Content technologies, Applications & Information Market DG INFSO Multimodal.
Specialized Center of English Language HIRAD
Why industry cares about nlp for tamil?
NSF Grant Number: IIS PI: Joseph Picone Institution: Mississippi State University Title: Integrating Prosody, Speech Recognition, Parsing In Spoken-Language.
Siemens Enables Digitalization: Data Analytics & Artificial Intelligence Dr. Mike Roshchin, CT RDA BAM.
Future-oriented Benchmarking Through Social Media Analysis
3.0 Map of Subject Areas.
What is in the Web? And Commerce on the Web
Evaluation of a multimodal Virtual Personal Assistant Glória Branco
ITS 2.0 Enriched Terminology Annotation Showcase
Pilar Orero, Spain Yoshikazu SEKI, Japan 2018
CSE 635 Multimedia Information Retrieval
Web Mining Department of Computer Science and Engg.
Presented by: Mónica Domínguez
Web Mining Research: A Survey
ประกาศกระทรวงอุตสาหกรรม ฉบับที่ 5292 (พ.ศ. 2562)
Evaluation of a multimodal Virtual Personal Assistant Glória Branco
Presentation transcript:

© W. Wahlster, DFKI IST ´98 Workshop „The Language of Business - the Business of Language“ Vienna, 2 December 1998 German Research Center for Artificial Intelligence GmbH Stuhlsatzenhausweg 3, Geb Saarbrücken Tel.: (0681) /4162 Fax: (0681) WWW: Prof. Wolfgang Wahlster Towards Personalized and Intuitive IST

© W. Wahlster, DFKI User Profiles NLP Competence Buyer of Information, Services, Goods Netbots -Information Extraction -Information Condensation -Translation -Text/Data Mining -Teleshopping Assistance -Telemarketing Assistance -Matchmaking -Personalized Presentation Netbots -Information Extraction -Information Condensation -Translation -Text/Data Mining -Teleshopping Assistance -Telemarketing Assistance -Matchmaking -Personalized Presentation Seller of Information Services, Goods WWW Netbots Need NLP Competence to Provide Intelligent Internet Services

© W. Wahlster, DFKI Advanced WebCommerce Advanced WebCommerce Virtual Web Pages One-to-One Marketing One-to-One Marketing Intuitive, Multilingual Access Dialogue with Virtual Sales Agents Shopbots for Automated Comparison Shopping Text Analysis and Generation User Modeling and Language Generation Coordinated Text & Graphics Planning Robust Dialogue Understanding Advanced Speech Synthesis Information Extraction from HTML/XML Documents Machine Translation Multimodal Interfaces Multimedia Presentation Planning Human Language Technology is a Prerequisite for Advanced WebCommerce

© W. Wahlster, DFKI Advanced Call Center Advanced Call Center Analyse and Forward Customers´ s Generate Personalized Replies Generate Personalized Replies Translate Dialogue between Foreign Customer and Operator Conduct Dialogue for Simple Tasks Produce Dialogue Protocols Detect Topic/Request Type and Select Operator Classify Customer‘s Language and Forward Call to Appropriate Operator Classify Customer‘s Language and Forward Call to Appropriate Operator Efficient Text Classification Spontaneous Speech Translation Concept-to- Speech Systems Language/Age/Sex/Emotion Recognition Robust Dialogue Act Analysis Topic Spotting Dialogue Act Recognition Robust Spoken Dialogue Understanding Human Language Technology is a Key Component of Advanced Call Centers

© W. Wahlster, DFKI Dialogue Translation e.g. by Verbmobil Multilingual Generation of Protocols HTML-Document In English Transfered by Internet or Fax HTML-Document In English Transfered by Internet or Fax German Dialogue Partner English Dialogue Partner Automatic Generation of Multilingual Protocols of Telephone Conversations