Dependency Parsing (Synthesis Lectures On Human Language Technologies, 2)

Dependency Parsing (Synthesis Lectures On Human Language Technologies, 2)

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Dependencybased Methods For Syntactic Parsing Have Become Increasingly Popular In Natural Language Processing In Recent Years. This Book Gives A Thorough Introduction To The Methods That Are Most Widely Used Today. After An Introduction To Dependency Grammar And Dependency Parsing, Followed By A Formal Characterization Of The Dependency Parsing Problem, The Book Surveys The Three Major Classes Of Parsing Models That Are In Current Use: Transitionbased, Graphbased, And Grammarbased Models. It Continues With A Chapter On Evaluation And One On The Comparison Of Different Methods, And It Closes With A Few Words On Current Trends And Future Prospects Of Dependency Parsing. The Book Presupposes A Knowledge Of Basic Concepts In Linguistics And Computer Science, As Well As Some Knowledge Of Parsing Methods For Constituencybased Representations. Table Of Contents: Introduction / Dependency Parsing / Transitionbased Parsing / Graphbased Parsing / Grammarbased Parsing / Evaluation / Comparison / Final Thoughts

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Frequently Asked Questions

  • Q: What is the main focus of the book 'Dependency Parsing'? A: The book focuses on dependency-based methods for syntactic parsing, providing a thorough introduction to the most widely used parsing techniques in natural language processing.
  • Q: Who is the author of 'Dependency Parsing'? A: The author of 'Dependency Parsing' is Sandra Kubler.
  • Q: What topics are covered in the book's table of contents? A: The book covers topics such as dependency grammar, transition-based parsing, graph-based parsing, grammar-based parsing, evaluation, comparison of methods, and current trends in dependency parsing.
  • Q: What is the publication date of 'Dependency Parsing'? A: The book was published on January 23, 2009.
  • Q: What is the format of this book? A: The book is available in paperback format.
  • Q: How many pages does 'Dependency Parsing' have? A: The book has a total of 127 pages.
  • Q: What prior knowledge is recommended for readers of this book? A: Readers should have a basic understanding of linguistics, computer science, and some familiarity with parsing methods for constituency-based representations.
  • Q: Is 'Dependency Parsing' suitable for beginners in Natural Language Processing? A: While the book is informative, it presupposes some prior knowledge in linguistics and parsing methods, making it better suited for those with a foundational understanding of the subject.
  • Q: What are the major classes of parsing models discussed in the book? A: The book discusses three major classes of parsing models: transition-based, graph-based, and grammar-based models.
  • Q: Does the book include evaluations of different parsing methods? A: Yes, the book includes a chapter on evaluation and comparison of different parsing methods.