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Parameterized Algorithms
  • Language: en
  • Pages: 618

Parameterized Algorithms

  • Type: Book
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  • Published: 2015-07-20
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  • Publisher: Springer

This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way. The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discuss...

Embeddings in Natural Language Processing
  • Language: en
  • Pages: 177

Embeddings in Natural Language Processing

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.

The noble Polish Zielonka family. Die adlige polnische Familie Zielonka.
  • Language: en
  • Pages: 69

The noble Polish Zielonka family. Die adlige polnische Familie Zielonka.

This is a hodgepodge of a disordered, systematically arranged collection of the Polish nobility. On these pages you will find out everything about: descent, aristocracy, aristocratic literature, aristocratic name endings, aristocratic association, genealogy, bibliography, books, family research, research, genealogy, history, heraldry, heraldry, herb, herbarity, indigenous, information, literature, names, nobility files, Nobility, personal history, Poland, Schlachta, Szlachta, coat of arms, coat of arms research, coat of arms literature, nobility, coat of arms, knight, Poland, szlachta, herb, Herbarz. Sammelsurium, veltemere, systematice ordinaretur collectio super principes Poloniae, Gatheri...

System Modeling and Analysis
  • Language: en
  • Pages: 801

System Modeling and Analysis

"Kobayashi and Mark present the most up-to-date analytical models, simulation techniques, and computational algorithms useful for performance evaluation of complex systems - including computer systems, communication networks, transportation systems, and manufacturing systems. Broader in scope than other texts, this book provides more in-depth coverage of topics such as computational algorithms and approximations. It appeals to students with a background or interest in a wide range of areas, including systems analysis or telecommunication networks."--Publisher's website.

A Grammar of Contemporary Polish
  • Language: en
  • Pages: 534

A Grammar of Contemporary Polish

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Kernelization
  • Language: en
  • Pages: 531

Kernelization

A complete introduction to recent advances in preprocessing analysis, or kernelization, with extensive examples using a single data set.

Similar Languages, Varieties, and Dialects
  • Language: en
  • Pages: 345

Similar Languages, Varieties, and Dialects

Studying language variation requires comprehensive interdisciplinary knowledge and new computational tools. This essential reference introduces researchers and graduate students in computer science, linguistics, and NLP to the core topics in language variation and the computational methods applied to similar languages, varieties, and dialects.

Neural Machine Translation
  • Language: en
  • Pages: 409

Neural Machine Translation

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

Introduction to Arabic Natural Language Processing
  • Language: en
  • Pages: 186

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

Handbook of Linguistic Annotation
  • Language: en
  • Pages: 1440

Handbook of Linguistic Annotation

  • Type: Book
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  • Published: 2017-06-16
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  • Publisher: Springer

This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and...