Conferences related to Natural Language Processing

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ICASSP 2017 - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2014 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Automation


2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2013)

Humanoids in the Real World: All related areas of humanoid robotics including locomotion, architectures, mechatronics, control, perception, planning, learning, neuroscience and interaction.

  • 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012)

    The conference theme is 'Humanoids and Humans: Towards A New Frontier.' More than a decade has passed since the first Humanoids conference. Over that period, science and technology have advanced significantly. It is time to revisit the original conception of humanoids -- human-like robots -- and engage the next stage of humanoid research. What can we do with the current and emerging research across broad areas of science and technology to explore the next generation of humanoids and their new relationship to humans? Papers contributing to answering this question from any aspects are solicited.

  • 2011 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011)

    The creation of general-purpose service and companion humanoid robots is one of the greatest challenges in today s robotics research with a potentially huge impact. Papers are solicited in all related areas of humanoid robotics including mechatronics, control, perception, planning, learning, neuroscience, and human-robot interaction.

  • 2010 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010)

    Humanoid Robotics is an increasing research topic stimulated both by the perspective of highly challenging applications in servicing robotics and by renewing fundamental research topics in Robotics at large such as Mechatronics, Control, Decision Making and Human-Robot Interaction. More than that Humanoid Robotics opens synergetic researches towards Life and Human Science. Such openness will constitute the special theme of Humanoids2010.

  • 2009 9th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2009)

    1. Design and control of humanoid robots 2. Motion planning 3. Cognition, perception and learning for humanoid robots 4. Manipulation by humanoid robots 5. Humanoid robot platforms for applications 6. Stability and dynamics for humanoid robots 7. Software and hardware architecture and system integration 8. Human-humanoid interaction 9. Planning, localization and navigation 10. Human body and behavior modeling 11. Neuro-robotics and humanoids

  • 2008 8th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2008)

    1. Design and control of full-body 2. humanoid robots 3. Motion planning 4. Cognition, perception and learning for humanoid robots 5. Advanced components for humanoid robots 6. Sub-parts, e.g. hands, arms, legs and etc., for humanoid robots 7. Humanoid robot platforms for applications 8. Anthropomorphism in humanoid robotics 9. Software and hardware architecture and system integration 10. Human-humanoid interaction 11. Planning, localization and navigation 12. Development tools for hum


2013 Eighth International Conference on Digital Information Management (ICDIM)

The principal aim of this conference is to bring people in academia, research laboratories and industry together, and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology.

  • 2012 Seventh International Conference on Digital Information Management (ICDIM)

    The principal aim of this conference is to bring people in academia, research laboratories and industry together, and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology.

  • 2011 Sixth International Conference on Digital Information Management (ICDIM)

    The ICDIM 2011 is a forum of academic and industrial researchers and scientists in digital information management and technology. It addresses the research in significant areas of information management, database management, and process management.

  • 2010 Fifth International Conference on Digital Information Management (ICDIM)

    The International Conference on Digital Information Management is a multidisciplinary conference on digital information management, science and technology.

  • 2009 Fourth International Conference on Digital Information Management (ICDIM)

    he principal aim of this conference is to bring people in academia, research laboratories and industry and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology. This forum will address a large number of themes and issues. The conference will have original research and industrial papers on the theory, design and implementat

  • 2008 Third International Conference on Digital Information Management (ICDIM)

    The International Conference on Digital Information Management is a multidisciplinary conference on digital information management, science and technology. The principal aim of this conference is to bring people in academia, research laboratories and industry and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology. This f


2013 International Conference on Asian Language Processing (IALP)

The International Conference on Asian Language Processing (IALP) is a series of conferences with unique focus on Asian Language Processing. The conference aims to advance the science and technology of all the aspects of Asian Language Processing by providing a forum for researchers in the different fields of language study all over the world to meet.

  • 2012 International Conference on Asian Language Processing (IALP)

    The topics of the conference cover all aspects of natural language processing with a focus on Asian languages.

  • 2011 International Conference on Asian Language Processing (IALP)

    The International Conference on Asian Language Processing (IALP) is a conference series with a unique focus on Asian Language Processing. The conference aims to advance the science and technology of all the aspects of Asian Language Processing by providing a forum for researchers in the different fields of language study to meet.

  • 2010 International Conference on Asian Language Processing (IALP)

    The conference is a series of conferences with unique focus on Asian Language Processing. The conference aims to advance the science and technology of all the aspects of Asian Language Processing.

  • 2009 International Conference on Asian Language Processing (IALP 2009)

    The International Conference on Asian Language Processing (IALP) is a series of conference with unique focus on Asian Language Processing. The conference aims to advance the science and technology of all the aspect of Asian Language Processing by providing a forum for researchers in different fields of language study all over the world to meet.


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Periodicals related to Natural Language Processing

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Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...


Signal Processing Magazine, IEEE

IEEE Signal Processing Magazine is ranked as the number three most-cited journal in Electrical and Electronics Engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This publication features tutorial style papers on signal processing research and applications. The primary means of communication of the society leadership ...



Most published Xplore authors for Natural Language Processing

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Xplore Articles related to Natural Language Processing

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Recurrent snap-drift neural network for phrase recognition

Dominic Palmer-Brown; Chrisina Draganova The 2010 International Joint Conference on Neural Networks (IJCNN), 2010

A new recurrent neural network is presented, based on the snap-drift algorithm. The simple recurrent network (SRN) architecture is adopted, with the hidden layer values copied back to the input layer. A form of reinforcement learning is deployed in which the mode is swapped between the snap and drift unsupervised modes when performance drops, and in which adaptation is probabilistic, ...


Automatic identification of positive or negative language

Erez Posner; Omer David; Vered Aharonson; Gabi Shafat 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 2012

Personal coaching, performed by professionals such as psychologists, usually includes training for business as well as social situations such as job interviews, business meetings, interaction with a customer service provider, and more. This requires careful preparation in which, among other traits, the trainees need to pay attention to the words they choose in the interaction, in order to make a ...


Global discriminative model for dependency parsing in NLP pipeline

Miao Li; Hongyi Ding; Ji Wu The 9th International Symposium on Chinese Spoken Language Processing, 2014

Dependency parsing, which is a fundamental task in Natural Language Processing (NLP), has attracted a lot of interest in recent years. In general, it is a module in an NLP pipeline together with word segmentation and Part-Of-Speech (POS) tagging in real Chinese NLP application. The NLP pipeline, which is a cascade system, will lead to error propagation for the parsing. ...


A Computer-Assist Algorithm to Detect Repetitive Stuttering Automatically

Junbo Zhang; Bin Dong; Yonghong Yan 2013 International Conference on Asian Language Processing, 2013

An algorithm to detect Chinese repetitive stuttering by computer is studied. According to the features of repetitions in Chinese stuttered speech, improvement solutions are provided based on the previous research findings. First, a multi-span looping forced alignment decoding networks is designed to detect multi-syllable repetitions in Chinese stuttered speech. Second, branch penalty factor is added in the networks to adjust ...


Ambiguity spotting using wordnet semantic similarity in support to recommended practice for Software Requirements Specifications

Jin Matsuoka; Yves Lepage 2011 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

Word Sense Disambiguation is a crucial problem in documents whose purpose is to serve as specifications for automatic systems. The combination of different techniques of Natural Language Processing can help in this task. In this paper, we show how to detect ambiguous terms in Software Requirements Specifications. And we propose a computer-aided method that signals the reader for possibly ambiguous ...


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Educational Resources on Natural Language Processing

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eLearning

Recurrent snap-drift neural network for phrase recognition

Dominic Palmer-Brown; Chrisina Draganova The 2010 International Joint Conference on Neural Networks (IJCNN), 2010

A new recurrent neural network is presented, based on the snap-drift algorithm. The simple recurrent network (SRN) architecture is adopted, with the hidden layer values copied back to the input layer. A form of reinforcement learning is deployed in which the mode is swapped between the snap and drift unsupervised modes when performance drops, and in which adaptation is probabilistic, ...


Automatic identification of positive or negative language

Erez Posner; Omer David; Vered Aharonson; Gabi Shafat 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 2012

Personal coaching, performed by professionals such as psychologists, usually includes training for business as well as social situations such as job interviews, business meetings, interaction with a customer service provider, and more. This requires careful preparation in which, among other traits, the trainees need to pay attention to the words they choose in the interaction, in order to make a ...


Global discriminative model for dependency parsing in NLP pipeline

Miao Li; Hongyi Ding; Ji Wu The 9th International Symposium on Chinese Spoken Language Processing, 2014

Dependency parsing, which is a fundamental task in Natural Language Processing (NLP), has attracted a lot of interest in recent years. In general, it is a module in an NLP pipeline together with word segmentation and Part-Of-Speech (POS) tagging in real Chinese NLP application. The NLP pipeline, which is a cascade system, will lead to error propagation for the parsing. ...


A Computer-Assist Algorithm to Detect Repetitive Stuttering Automatically

Junbo Zhang; Bin Dong; Yonghong Yan 2013 International Conference on Asian Language Processing, 2013

An algorithm to detect Chinese repetitive stuttering by computer is studied. According to the features of repetitions in Chinese stuttered speech, improvement solutions are provided based on the previous research findings. First, a multi-span looping forced alignment decoding networks is designed to detect multi-syllable repetitions in Chinese stuttered speech. Second, branch penalty factor is added in the networks to adjust ...


Ambiguity spotting using wordnet semantic similarity in support to recommended practice for Software Requirements Specifications

Jin Matsuoka; Yves Lepage 2011 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

Word Sense Disambiguation is a crucial problem in documents whose purpose is to serve as specifications for automatic systems. The combination of different techniques of Natural Language Processing can help in this task. In this paper, we show how to detect ambiguous terms in Software Requirements Specifications. And we propose a computer-aided method that signals the reader for possibly ambiguous ...


More eLearning Resources

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IEEE-USA E-Books

  • Languages and Ontologies

    As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "web of links" with a "web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information -- display elements, metadata, services, images, and especially content -- accessible. The result will be an immense repository of information accessible for a wide range of new applications.This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.

  • Introduction

    Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language information retrieval, and corpus linguistics. The availability of bitexts has increased dramatically since the advent of the Web, making their study an exciting new area of research in natural language processing. This book lays out the theory and the practical techniques for discovering and applying translational equivalence at the lexical level. It is a start-to-finish guide to designing and evaluating many translingual applications.

  • References

    Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language information retrieval, and corpus linguistics. The availability of bitexts has increased dramatically since the advent of the Web, making their study an exciting new area of research in natural language processing. This book lays out the theory and the practical techniques for discovering and applying translational equivalence at the lexical level. It is a start-to-finish guide to designing and evaluating many translingual applications.

  • Translational Equivalence Among Word Tokens

    Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language information retrieval, and corpus linguistics. The availability of bitexts has increased dramatically since the advent of the Web, making their study an exciting new area of research in natural language processing. This book lays out the theory and the practical techniques for discovering and applying translational equivalence at the lexical level. It is a start-to-finish guide to designing and evaluating many translingual applications.

  • Index

    Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language information retrieval, and corpus linguistics. The availability of bitexts has increased dramatically since the advent of the Web, making their study an exciting new area of research in natural language processing. This book lays out the theory and the practical techniques for discovering and applying translational equivalence at the lexical level. It is a start-to-finish guide to designing and evaluating many translingual applications.

  • No title

    <p>Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.</p> <p>The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned- generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine tr nslation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.</p>

  • Query Translation Using Evolutionary Programming for Multi-Lingual Information Retrieval

    Multi-lingual information retrieval (IR) systems apply queries in one language to a document collection in several different languages with the goal of retrieving only those documents relevant to the query. At first glance, deep linguistic analysis and translation of the query appears necessary before retrievals can be performed. IR systems are unique in natural language processing, however, because a pattern of term occurrences in a document generally suffices to determine the subject matter; word order is largely irrelevant. Translated queries are therefore primarily derived by a mapping from a word set in the query language to a word set in the language of the derived query. Large parallel text collections with sentencelevel alignments can provide a baseline for evaluating the correctness of a query translation, but the determination of members of the query translation remains problematic. Constructing a query from machine-readable, bilingual dictionaries and assigning term weights by the evolutionary optimization of a population of potential weighting schemes presents a solution to the difficulties of generating translated queries. In this approach, differences in the rank statistics on the comparative recall results for a query against its native language and its translation against its native language determine the fitness of a tentative query translation.

  • Learning Algorithms

    Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC- Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.

  • Efficient and complete demo predicates for definite clause languages

    We present an implementation method for the binary demo predicate which is logically complete. A call is true whenever its arguments represent (ground names of) a program and query, respectively, such that the query is provable from the program. Completeness implies that the predicate is equally well suited for executing programs as well as for generating them. A var iahlc ill the first argument represents, thus, an unknown program fragment and, if possible, the complete demo predicate produces an allswer for it which makes the query provable. Tasks such as abduction and diagnosis can be expressed by putting additional conditions into the query as follows. The use of coroutine control (e.g., freeze) provides acceptable execution characteristics with an interleaved or "lazy" execution of these conditions. The principle has also been used in order to synthesize grammar rules and context descriptions in natural language processing. -- In the mentioned examples, the additional conditions need only be of a simple syntactic nature; for more complicated problems they may also involve other calls of demo. Demo was introduced by Kowalski in 1979, but logically complete implementations seem to have been lacking until simultaneous results by Sato and the present author in 1992. While these works are mostly of a theoretical interest, the aim of the present is to produce an implementation of practical relevance. We use a straightforward definition of demo enhanced with constraint techniques to handle uninstantiated variables, which stand for program text taking part in the actual computation. For such variables, unevaluated (but satisfiable) constraints are accumulated and reflected back into a (partial) construction of the program whenever enough information is present" The implementation of the constraints employs a reflection of object language variables and unification by the variables and unification of Prolog. Thus an inefficient and high-level simulation of these critical notions, is avoided. In this way, we obtain an implementation of the logically complete demo which, with respect to efficiency, is comparable with the vanilla interpreter, i.e., only a constant factor slower than the Prolog system, which executes it. For details and references, see [Christiansen91].

  • References

    The use of computers to understand words continues to be an area of burgeoning research. Electric Words is the first general survey of and introduction to the entire range of work in lexical linguistics and corpora -- the study of such on-line resources as dictionaries and other texts -- in the broader fields of natural-language processing and artificial intelligence. The authors integrate and synthesize the goals and methods of computational lexicons in relation to AI's sister disciplines of philosophy, linguistics, and psychology. One of the underlying messages of the book is that current research should be guided by both computational and theoretical tools and not only by statistical techniques -- that matters have gone far beyond counting to encompass the difficult province of meaning itself and how it can be formally expressed.Electric Words delves first into the philosophical background of the study of meaning, specifically word meaning, then into the early work on treating dictionaries as texts, the first serious efforts at extracting information from machine-readable dictionaries (MRDs), and the conversion of MRDs into usable lexical knowledge bases. The authors provide a comparative survey of worldwide work on extracting usable structures from dictionaries for computational-linguistic purposes and a discussion of how those structures differ from or interact with structures derived from standard texts (or corpora). Also covered are automatic techniques for analyzing MRDs, genus hierarchies and networks, numerical methods of language processing related to dictionaries, automatic processing of bilingual dictionaries, and consumer projects using MRDs.



Standards related to Natural Language Processing

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Jobs related to Natural Language Processing

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