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Graph-based Natural Language Processing and Information Retrieval
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
Recent Advances in Natural Language Processing IV
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STAIRS 2006
STAIRS 2006 is the third European Starting AI Researcher Symposium, an international meeting aimed at AI researchers, from all countries, at the beginning of their career: PhD students or people holding a PhD for less than one year. This work includes topics which range from traditional AI areas to AI applications.
Intelligent Information Access
Written from a multidisciplinary perspective, Intelligent Information Access investigates new insights into methods, techniques and technologies for intelligent information access. The chapters are written by participants in the Intelligent Information Access meeting, held in Cagliari, Italy, in December 2008.
Endless Reasons to Love Winter
Looking for a morale boost to get you through the winter months? This cheerfully illustrated book will change the way you look at winter, with nearly 100 reasons to fall in love with the cold season - its festive mood, the slower pace of time, the time spent with family and friends, and a lot more. A perfect gift for all ages, for Christmas, New Year, or any other winter day.
Word Sense Disambiguation
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.
Artificial Intelligence Humor
What Is Artificial Intelligence Humor The use of computers in the field of comedy study is the focus of the subfield of computational linguistics and artificial intelligence known as computational humor. This is a very new field, with the first conference specifically devoted to it being held in 1996. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Computational Humor Chapter 2: Computational Linguistics Chapter 3: Joke Chapter 4: Natural Language Generation Chapter 5: Computational Creativity Chapter 6: Theories of Humor Chapter 7: Computer Humor Chapter 8: Kim Binsted Chapter 9: Rada Mihalcea Chapter 10: Preslav Nakov (II) Answering the public top ...
Recent Advances in Natural Language Processing III
This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Processing". A wide range of topics is covered in the volume: semantics, dialog, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various 'state-of-the-art' techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
Computational Linguistics and Intelligent Text Processing
This book constitutes the proceedings of the 11th International Conference on Computational Linguistics and Intelligent Text Processing, held in Iaşi, Romania, in March 2010. The 60 paper included in the volume were carefully reviewed and selected from numerous submissions. The book also includes 3 invited papers. The topics covered are: lexical resources, syntax and parsing, word sense disambiguation and named entity recognition, semantics and dialog, humor and emotions, machine translation and multilingualism, information extraction, information retrieval, text categorization and classification, plagiarism detection, text summarization, and speech generation.
