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Trends in Parsing Technology

Dependency Parsing, Domain Adaptation, and Deep Parsing

Computer parsing technology, which breaks down complex linguistic structures into their constituent parts, is a key research area in the automatic processing of human language. This volume is a collection of contributions from leading researchers in the field of natural language processing technology, each of whom detail their recent work which includes new techniques as well as results. The book presents an overview of the state of the art in current research into parsing technologies, focusing on three important themes: dependency parsing, domain adaptation, and deep parsing. The technology, which has a variety of practical uses, is especially concerned with the methods, tools and software that can be used to parse automatically. Applications include extracting information from free text or speech, question answering, speech recognition and comprehension, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable, and researchers and professionals from a number of fields will find the material here required reading. As well as the other four volumes on parsing technology in this series this book has a breadth of coverage that makes it suitable both as an overview of the field for graduate students, and as a reference for established researchers in computational linguistics, artificial intelligence, computer science, language engineering, information science, and cognitive science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

This volume is a collection of contributions from leading researchers in the field of natural language processing technology, each of whom detail their recent work which includes new techniques as well as results.

Dependency Parsing

Dependency-based 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: transition-based, graph-based, and grammar-based 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 constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts

Dependency-based 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.

Bullying

How to Spot It, how to Stop it : a Guide for Parents and Teachers

More than half of all schoolchildren have been bullied. Although lip-service is often paid to anti-bullying policies, the torment of bullying continues to be real and widespread and the damage done is lasting. It explains what causes children to bully, why bullying is on the increase, what makes a child a victim, and how children can develop coping skills to deal with problems at school and on the streets. A complete guide for all parents and teachers, it shows you how to stay alert to problems andhow to tackle them when they happen. There are lots of books on bullying for teachers and other professionals, books for children themselves, and books on workplace bullying, but nothing quite like this wide-ranging, up-to-date, proactive guide to every aspect of school-age bullying.

There are lots of books on bullying for teachers and other professionals, books for children themselves, and books on workplace bullying, but nothing quite like this wide-ranging, up-to-date, proactive guide to every aspect of school-age ...

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Dari Teori ke Praktik

Effect of Full- and Partial-bed Configuration of the Performance Characteristics of the Biological Aerated Filter

Determination of the offset distance between driveway exits and downstream U-turn locations for vehicles making right turns followed by U-turns

Florida increasingly uses restrictive medians and directional median openings on multi-lane highways to manage left turn egress maneuvers from driveways and side streets. By installing non-traversable medians and replacing full median openings with directional median openings at various locations, Florida prohibits direct left-turn exits onto some major arterials. The purpose of this research was to evaluate how the offset distance between driveway exits and downstream median openings or signalized intersections impacts traffic operational and safety performance. The primary objective is to determine optimum offset distances to facilitate driver use of Right Turn Followed by a U-Turn (RTUT) maneuvers, specifically investigating (1) traffic operational performance, based on the evaluation of vehicle travel time at various offset distances, and (2) safety performance, based on the evaluation of traffic conflicts and crash data. The focus of this research was on urban or suburban multi-lane divided arterials. Researchers studied the impacts of offset distance under four different scenarios: 4-lane divided roadways accommodating U-turns at median openings, 4-lane divided roadways accommodating U-turns at signalized intersections, 6 or more-lane divided roadways accommodating U-turns at median openings, and 6 or more-lane divided roadways accommodating U-turns at signalized intersections.

Florida increasingly uses restrictive medians and directional median openings on multi-lane highways to manage left turn egress maneuvers from driveways and side streets.

Safety evaluation of right turns followed by U-turns (4 lanes arterials) as an alternative to direct left turns

conflict analysis

Safety evaluation of right turns followed by U-turns at signalized intersections (6 or more lane arterials) as an alternative to direct left turns

conflict analysis