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Interactive Multi-modal Question-Answering
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ISBN: 9783642175251 Year: 2011 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg

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Interactive multi-modal question-answering
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ISBN: 3642175244 3642175252 Year: 2011 Publisher: New York : Springer,

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This book is the result of a group of researchers from different disciplines asking themselves one question: what does it take to develop a computer interface that listens, talks, and can answer questions in a domain? First, obviously, it takes specialized modules for speech recognition and synthesis, human interaction management (dialogue, input fusion, andmultimodal output fusion), basic question understanding, and answer finding. While all modules are researched as independent subfields, this book describes the development of state-of-the-art modules and their integration into a single, working application capable of answering medical (encyclopedic) questions such as "How long is a person with measles contagious?" or "How can I prevent RSI?". The contributions in this book, which grew out of the IMIX project funded by the Netherlands Organisation for Scientific Research, document the development of this system, but also address more general issues in natural language processing, such as the development of multidimensional dialogue systems, the acquisition of taxonomic knowledge from text, answer fusion, sequence processing for domain-specific entity recognition, and syntactic parsing for question answering. Together, they offer an overview of the most important findings and lessons learned in the scope of the IMIX project, making the book of interest to both academic and commercial developers of human-machine interaction systems in Dutch or any other language. Highlights include: integrating multi-modal input fusion in dialogue management (Van Schooten and Op den Akker), state-of-the-art approaches to the extraction of term variants (Van der Plas, Tiedemann, and Fahmi; Tjong Kim Sang, Hofmann, and De Rijke), and multi-modal answer fusion (two chapters by Van Hooijdonk, Bosma, Krahmer, Maes, Theune, and Marsi). Watch the IMIX movie at www.nwo.nl/imix-film . Like IBM's Watson, the IMIX system described in the book gives naturally phrased responses to naturally posed questions. Where Watson can only generate synthetic speech, the IMIX system also recognizes speech. On the other hand, Watson is able to win a television quiz, while the IMIX system is domain-specific, answering only to medical questions. "The Netherlands has always been one of the leaders in the general field of Human Language Technology, and IMIX is no exception. It was a very ambitious program, with a remarkably successful performance leading to interesting results. The teams covered a remarkable amount of territory in the general sphere of multimodal  question answering and information delivery, question answering, information extraction and component technologies." Eduard Hovy, USC, USA, Jon Oberlander, University of Edinburgh, Scotland, and Norbert Reithinger, DFKI, Germany .

Keywords

Human-computer interaction. --- System design. --- User interfaces (Computer systems) -- Design. --- Multimodal user interfaces (Computer systems) --- Multimedia systems --- Information storage and retrieval systems --- Question-answering systems --- Engineering & Applied Sciences --- Computer Science --- Question-answering systems. --- Computer science. --- Information storage and retrieval. --- Multimedia information systems. --- User interfaces (Computer systems). --- Computer Science. --- Multimedia Information Systems. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Information Storage and Retrieval. --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Informatics --- Science --- Artificial intelligence --- Problem solving --- Multimedia systems. --- Information storage and retrieva. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)


Book
Structure discovery in natural language
Authors: ---
ISBN: 3642259227 9786613452542 1283452545 3642259235 3642442307 Year: 2012 Publisher: Heidelberg : Springer,

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Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.  .

Keywords

Information Technology --- Artificial Intelligence --- Data mining. --- Information retrieval. --- Natural language processing (Computer science). --- Natural language processing (Computer science) --- Computational linguistics --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer Science --- Mechanical Engineering - General --- NLP (Computer science) --- Computer science. --- Artificial intelligence. --- Graph theory. --- Computational linguistics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Linguistics. --- Graph Theory. --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Artificial Intelligence. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data processing --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Extremal problems --- Natürliche Sprache. --- Sprachverarbeitung. --- Sprachdaten. --- Mustererkennung. --- Wortgraph. --- Netzwerk. --- Cluster-Analyse. --- Graphentheorie.


Book
Interactive Multi-modal Question-Answering
Authors: --- ---
ISBN: 9783642175251 Year: 2011 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

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Abstract

This book is the result of a group of researchers from different disciplines asking themselves one question: what does it take to develop a computer interface that listens, talks, and can answer questions in a domain? First, obviously, it takes specialized modules for speech recognition and synthesis, human interaction management (dialogue, input fusion, andmultimodal output fusion), basic question understanding, and answer finding. While all modules are researched as independent subfields, this book describes the development of state-of-the-art modules and their integration into a single, working application capable of answering medical (encyclopedic) questions such as "How long is a person with measles contagious?" or "How can I prevent RSI?". The contributions in this book, which grew out of the IMIX project funded by the Netherlands Organisation for Scientific Research, document the development of this system, but also address more general issues in natural language processing, such as the development of multidimensional dialogue systems, the acquisition of taxonomic knowledge from text, answer fusion, sequence processing for domain-specific entity recognition, and syntactic parsing for question answering. Together, they offer an overview of the most important findings and lessons learned in the scope of the IMIX project, making the book of interest to both academic and commercial developers of human-machine interaction systems in Dutch or any other language. Highlights include: integrating multi-modal input fusion in dialogue management (Van Schooten and Op den Akker), state-of-the-art approaches to the extraction of term variants (Van der Plas, Tiedemann, and Fahmi; Tjong Kim Sang, Hofmann, and De Rijke), and multi-modal answer fusion (two chapters by Van Hooijdonk, Bosma, Krahmer, Maes, Theune, and Marsi). Watch the IMIX movie at www.nwo.nl/imix-film . Like IBM's Watson, the IMIX system described in the book gives naturally phrased responses to naturally posed questions. Where Watson can only generate synthetic speech, the IMIX system also recognizes speech. On the other hand, Watson is able to win a television quiz, while the IMIX system is domain-specific, answering only to medical questions. "The Netherlands has always been one of the leaders in the general field of Human Language Technology, and IMIX is no exception. It was a very ambitious program, with a remarkably successful performance leading to interesting results. The teams covered a remarkable amount of territory in the general sphere of multimodal  question answering and information delivery, question answering, information extraction and component technologies." Eduard Hovy, USC, USA, Jon Oberlander, University of Edinburgh, Scotland, and Norbert Reithinger, DFKI, Germany 

Memory-based language processing
Authors: ---
ISBN: 0521808901 9780521808903 9780511486579 9780521114455 0511191197 9780511191190 0511160143 9780511160141 0511160712 9780511160714 0511161425 9780511161421 051148657X 9786610458240 6610458243 1107144043 9781107144040 1280458240 9781280458248 0511300441 9780511300448 0521114454 Year: 2005 Publisher: Cambridge : Cambridge University Press,

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Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.


Digital
Language Technology for Cultural Heritage : Selected Papers from the LaTeCH Workshop Series
Authors: --- ---
ISBN: 9783642202278 Year: 2011 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg


Digital
Structure discovery in natural language
Authors: ---
ISBN: 9783642259234 9783642259227 Year: 2012 Publisher: Heidelberg Springer

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Book
BNAIC'00 : proceedings of the twelfth Belgium-Netherlands artificial intelligence conference
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Year: 2000 Publisher: Tilburg Katholieke universiteit Brabant

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Book
Interactive multi-modal question-answering.
Authors: ---
ISBN: 9783642175244 Year: 2011 Publisher: Heidelberg Springer

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This text asks the question: what does it take to develop a computer interface that listens, talks, and can answer questions in a domain? First it takes specialized modules for speech recognition and synthesis, human interaction management, basic question understanding, and answer finding.


Dissertation
Learning to pronounce written words : a study in inductive language learning
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ISBN: 9080157724 Year: 1997 Publisher: s.l. Phidippides, Cadier en Keer

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