Conferences related to Natural Language Processing

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2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchersin robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior,anthropology, and many other fields.

  • 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    The conference serves as the primary annual meeting for researchers in the field of human-robot interaction. The event will include a main papers track and additional sessions for posters, demos, and exhibits. Additionally, the conference program will include a full day of workshops and tutorials running in parallel.

  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    This conference focuses on the interaction between humans and robots.

  • 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very bestresearch and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary,reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificialintelligence, organizational behavior, anthropology, and many other fields.

  • 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures

  • 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics Individual vs. group HRI

  • 2007 2nd Annual Conference on Human-Robot Interaction (HRI)


2018 41st International Conference on Telecommunications and Signal Processing (TSP)

The TSP 2018 Conference is organized by seventeen universities from Czech Rep., Hungary, Turkey, Taiwan, Japan, Slovak Rep., Spain, Bulgaria, France, Slovenia, Croatia, Greece, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2017 40th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2017 Conference is organized by fifteen universities from Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2016 39th International Conference on Telecommunications and Signal Processing (TSP)

    The 2016 39th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2015 38th International Conference on Telecommunications and Signal Processing (TSP)

    The 2015 38th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2013 36th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2013 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.

  • 2012 35th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2012 conference is organized for young academics, researchers and developers from different branches of telecommunication technology and signal processing.

  • 2011 34th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2011 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)

The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering. It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems. This includes both hardware and embedded software design issues. The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems. Companies also present innovative industrial designs to foster the feedback fromrealworld design to research. DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot-topic sessions, tutorials and workshops technical programme such as panels, hot-topic sessions, tutorials and workshops.

  • 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE)

    The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering. It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems. This includes both hardware and embedded software design issues. The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems. Companies also present innovative industrial designs to foster the feedback fromrealworld design to research. DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot-topic sessions, tutorials and workshops technical programme such as panels, hot-topic sessions, tutorials and workshops.

  • 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)

    The DATE conference addresses all aspects of research into technologies for electronic andembedded system engineering. It covers the design process, test, and automation tools forelectronics ranging from integrated circuits to distributed embedded systems. This includes bothhardware and embedded software design issues. The conference scope also includes theelaboration of design requirements and new architectures for challenging application fields suchas telecoms, wireless communications, multimedia, healthcare, smart energy and automotivesystems. Companies also present innovative industrial designs to foster the feedback from realworlddesign to research. DATE also hosts a number of special sessions, events within the maintechnical programme such as panels, hot-topic sessions, tutorials and workshops technical programme such as panels, hot-topic sessions, tutorials and workshops

  • 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)

    The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering. It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems. This includes both hardware and embedded software design issues. The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems. Companies also present innovative industrial designs to foster the feedback from realworld design to research. DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot-topic sessions, tutorials and workshops.

  • 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)

    The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering. It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems. This includes both hardware and embedded software design issues. The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems. Companies also present innovative industrial designs to foster the feedback from real-world design to research. DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot-topic sessions, tutorials and workshops

  • 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE 2013)

    DATE is the complete event for the European electronic and test community. A leading world conference and exhibition, DATE unites 2,000 professionals with approximately 60 exhibiting companies, cutting edge R&D, industrial designers and technical managers from around the world.

  • 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE 2012)

    DATE is the complete event for the European electronic system and test community. A leading world conference and exhibition, DATE unites 2,000 professionals with some 60 exhibiting companies, cutting edge R&D, industrial designers and technical managers from around the world.

  • 2011 Design, Automation & Test in Europe Conference & Exhibition (DATE 2011)

    DATE is the complete event for the European electronic system and test community. A world leading conference and exhibition, DATE unites 2,000 professionals with some 60 exhibiting companies, cutting edge R&D, industrial designers and technical managers from around the world.

  • 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)

    All aspects of research into technologies for electronic and (embedded) systems engineering. It covers the design process, test, and tools for design automation of electronic products ranging from integrated circuits to distributed large-scale systems.

  • 2009 Design, Automation & Test in Europe Conference & Exhibition (DATE 2009)

    The Design, Automation, and Test in Europe (DATE) conference is the world's premier conference dedicated to electronics system design & test. The technical programme features: Four distinctive and integrated themes, covering all aspects of systems design and engineering. Two special days are focusing on SoC Development Strategies and Multicore Applications.

  • 2008 Design, Automation & Test in Europe Conference & Exhibition (DATE 2008)

    The 11th DATE conference and exhibition is the main European event bringing together designers and design automation users, researchers and vendors, as well as specialists in the hardware and software design, test and manufacturing of electronic circuits and systems. It puts strong emphasis on ICs/SoCs, reconfigurable hardware and embedded systems, including embedded software. The five-day event consists of a conference with plenary invited papers, regular papers, panels, hot-topic sessions, tutorials.

  • 2007 Design, Automation & Test in Europe Conference & Exhibition (DATE 2007)

    DATE is the main European event bringing together designers and design automation users, researchers and vendors, as well as specialists in the hardware and software design, test and manufacturing of electronic circuits and systems. It puts strong emphasis on both ICs/SoCs, reconfigurable hardware and embedded systems, including embedded software.

  • 2006 Design, Automation & Test in Europe Conference & Exhibition (DATE 2006)

  • 2005 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 2004 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 2003 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 2002 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 2001 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 2000 Design, Automation & Test in Europe Conference & Exhibition (DATE)

  • 1999 Design, Automation & Test in Europe Conference & Exhibition (DATE)


2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)

Theory, development, application and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP)

    Theory, development, application, and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2012 International Conference on Information Retrieval & Knowledge Management (CAMP)

    INFORMATION RETRIEVAL IR Theory and Formal Models Cross-language retrieval, Multilingual retrieval, Machine translation for IR Web IR and Social media search Semi-structured information retrieval and Semantic search Interactive IR, Task-based IR User studies and models, User interfaces and visualization Multimedia IR KNOWLEDGE MANAGEMENT Knowledge engineering Digital Libraries, enterprise search, intranet search, and desktop search Social network Knowledge Intelligence Knowledge and privacy Knowledge synthesis and visualization Web and Social Knowledge Management Metadata and structured documents COMPUTATIONAL LINGUISTIC Text representation, text analysis, text summarization Collaborative filtering Text Categorization Text Clustering Question answering, Lexical acquisition Dialog System Machine Translation

  • 2010 International Conference on Information Retrieval & Knowledge Management (CAMP)

    CAMP'10 is an international scientific conference for research in the field of information retrieval and knowledge management. Information retrieval is the art and science of retrieving from a collection of items a subset that serves the user s purpose. While, knowledge management comprises a range of practices used in an organization to identify, create, represent, distribute and enable adoption of insights and experiences. The two areas intertwined as information retrieval provides means of knowledge i


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Periodicals related to Natural Language Processing

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


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Most published Xplore authors for Natural Language Processing

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Xplore Articles related to Natural Language Processing

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The Nursing Profession: Implications for AI and Natural Language Processing

[{u'author_order': 1, u'affiliation': u'Queensland University of Technology, Member, Institute for Health and Biomedical Innovation, Australia, a.barnard@qut.edu.au', u'full_name': u'Alan Barnard'}] 2007 International Conference on Natural Language Processing and Knowledge Engineering, 2007

Devices which utilise the assistance of artificial intelligence (AI) such as robotic technology are included increasingly in nursing and health environments. In accordance with these developments this paper will highlight issues for natural language processing that arise from the contexts of nursing practice with specific emphasis on the way nurses think and talk about holistic care, nursing language and the ...


Resource-based Natural Language Processing

[{u'author_order': 1, u'affiliation': u'Computational Linguistics Group, National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0289, Japan isahara@nict.go.jp', u'full_name': u'Hitoshi Isahara'}] 2007 International Conference on Natural Language Processing and Knowledge Engineering, 2007

Research on natural language processing (NLP) started with so-called rule- based methodology, however, compilation of huge amount of grammar rules and dictionary entries are too difficult to develop practical systems. Then, trend of NLP research shifted to corpus-based, or statistical systems. Thanks to the rapid improvement of computer power and data storage, nowadays we can utilize huge amount of actual ...


Voice controlled home automation system using Natural Language Processing (NLP) and Internet of Things (IoT)

[{u'author_order': 1, u'affiliation': u'Department of Computer Science, Rajalakshmi Institute of Technology, India', u'full_name': u'Paul Jasmin Rani'}, {u'author_order': 2, u'affiliation': u'UG, Department of Computer Science, Rajalakshmi Institute of Technology, India', u'full_name': u'Jason Bakthakumar'}, {u'author_order': 3, u'affiliation': u'UG, Department of Computer Science, Rajalakshmi Institute of Technology, India', u'full_name': u'B. Praveen Kumaar'}, {u'author_order': 4, u'affiliation': u'UG, Department of Computer Science, Rajalakshmi Institute of Technology, India', u'full_name': u'U. Praveen Kumaar'}, {u'author_order': 5, u'affiliation': u'UG, Department of Computer Science, Rajalakshmi Institute of Technology, India', u'full_name': u'Santhosh Kumar'}] 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM), 2017

The primary objective of our project is to construct a fully functional voice based Home automation system that uses Internet of Things, Artificial Intelligence and Natural Language Processing (NLP) to provide a cost- effective, efficient way to work together with home appliances. There are many smart home solutions in the market that aim to automate the basic operations of these ...


Research on chinese subjective questions scroing algorithm based on natural language processing

[{u'author_order': 1, u'affiliation': u'Modern Education Technology Center, Guilin University of Technology, China', u'full_name': u'Fanjin Mai'}, {u'author_order': 2, u'affiliation': u'Modern Education Technology Center, Guilin University of Technology, China', u'full_name': u'Xiaoguang Yue'}, {u'author_order': 3, u'affiliation': u'Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, China', u'full_name': u'Ziqiang Zhao'}] 2010 2nd International Conference on Advanced Computer Control, 2010

Automatic scoring is a help to teachers of giving students exact marks in examination. This article focuses on the method by using natural language processing technology to achieve a viable algorithm. The concepts of the forward maximum matching algorithm and semantic similarity computation and contrary degree calculation are described in this paper. From what has been discussed above, Chinese subjective ...


Detecting Phishing Attacks Using Natural Language Processing and Machine Learning

[{u'author_order': 1, u'full_name': u'Tianrui Peng'}, {u'author_order': 2, u'full_name': u'Ian Harris'}, {u'author_order': 3, u'full_name': u'Yuki Sawa'}] 2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018

Phishing attacks are one of the most common and least defended security threats today. We present an approach which uses natural language processing techniques to analyze text and detect inappropriate statements which are indicative of phishing attacks. Our approach is novel compared to previous work because it focuses on the natural language text contained in the attack, performing semantic analysis ...


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IEEE-USA E-Books

  • Learning to Rank for Information Retrieval and Natural Language Processing: Second Edition

    Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting based, and Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include: PRank, OC SVM, McRank, Ranking SVM, IR SVM, GBRank, RankNet, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, LambdaRank, LambdaMART, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work

  • Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax

    Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages

  • Natural Language Processing for Social Media

    In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on Natural Language Processing (NLP) tools and methods for processing the non- traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, business intelligence, industry, marketing, and security and defense. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

  • Natural Language Processing for the Semantic Web

    <p>This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. </p> <p>The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. </p>

  • Introduction to Chinese Natural Language Processing

    This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level, the book primarily focuses on Chinese morphological analysis and introduces the concept, structure, and interword semantics of Chinese words. The following topics are covered: a general introduction to Chinese NLP; Chinese characters, morphemes, and words and the characteristics of Chinese words that have to be considered in NLP applications; Chinese word segmentation; unknown word detection; word meaning and Chinese linguistic resources; interword semantics based on word collocation and NLP techniques for collocation extraction. Table of Contents: Introduction / Words in Chinese / Challenges in Chinese Morphological Processing / Chinese Word Segmentation / Unknown Word Identification / Word Meaning / Chinese Collocations / Automatic Chinese Collocation Extraction / Appendix / References / Author Biographies

  • Introduction to Arabic Natural Language Processing

    This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation

  • Natural Language Processing for Social Media: Second Edition

    In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

  • Bayesian Analysis in Natural Language Processing

    <p>Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate for various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. </p><p> We cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling. Finally, we cover some of the fundamental modeling techniques in NLP, such as grammar modeling and their use with Bayesian analysis.</p>

  • Natural Language Processing for Historical Texts

    More and more historical texts are becoming available in digital form. Digitization of paper documents is motivated by the aim of preserving cultural heritage and making it more accessible, both to laypeople and scholars. As digital images cannot be searched for text, digitization projects increasingly strive to create digital text, which can be searched and otherwise automatically processed, in addition to facsimiles. Indeed, the emerging field of digital humanities heavily relies on the availability of digital text for its studies. Together with the increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and tools to historical texts. However, the specific linguistic properties of historical texts -- the lack of standardized orthography, in particular -- pose special challenges for NLP. This book aims to give an introduction to NLP for historical texts and an overview of the state of the art in this field. The book starts with an overview of methods for the acquisition of historical texts (scanning and OCR), discusses text encoding and annotation schemes, and presents examples of corpora of historical texts in a variety of languages. The book then discusses specific methods, such as creating part-of-speech taggers for historical languages or handling spelling variation. A final chapter analyzes the relationship between NLP and the digital humanities. Certain recently emerging textual genres, such as SMS, social media, and chat messages, or newsgroup and forum postings share a number of properties with historical texts, for example, nonstandard orthography and grammar, and profuse use of abbreviations. The methods and techniques required for the effective processing of historical texts are thus also of interest for research in other domains. Table of Contents: Introduction / NLP and Digital Humanities / Spelling in Historical Texts / Acquiring Historical Texts / Text Encoding and Annotation Schemes / Handling Spelling Variation / NLP Tools for Historical Languages / Historical Corpora / Conclusion / Bibliography

  • Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

    This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real- world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of- speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees ("this algorithm never does too badly") than about useful rules of thumb ("in this case this algorithm may perform really well"). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant.



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