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Computational Linguistics and Intelligent Text Processing

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Cover of 'Computational Linguistics and Intelligent Text Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Integrating Semantic Frames from Multiple Sources
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    Chapter 2 Making Senses: Bootstrapping Sense-Tagged Lists of Semantically-Related Words
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    Chapter 3 Enriching Wordnets with New Relations and with Event and Argument Structures
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    Chapter 4 Experiments in Cross-Language Morphological Annotation Transfer
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    Chapter 5 Sentence Segmentation Model to Improve Tree Annotation Tool
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    Chapter 6 Markov Cluster Shortest Path Founded Upon the Alibi-Breaking Algorithm
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    Chapter 7 Unsupervised Learning of Verb Argument Structures
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    Chapter 8 A Methodology for Extracting Ontological Knowledge from Spanish Documents
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    Chapter 9 Automatically Determining Allowable Combinations of a Class of Flexible Multiword Expressions
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    Chapter 10 Web-Based Measurements of Intra-collocational Cohesion in Oxford Collocations Dictionary
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    Chapter 11 Probabilistic Neural Network Based English-Arabic Sentence Alignment
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    Chapter 12 Towards the Automatic Lemmatization of 16th Century Mexican Spanish: A Stemming Scheme for the CHEM
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    Chapter 13 Word Frequency Approximation for Chinese Without Using Manually-Annotated Corpus
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    Chapter 14 Abbreviation Recognition with MaxEnt Model
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    Chapter 15 An Efficient Multi-agent System Combining POS-Taggers for Arabic Texts
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    Chapter 16 A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese
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    Chapter 17 A General and Multi-lingual Phrase Chunking Model Based on Masking Method
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    Chapter 18 UCSG Shallow Parser
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    Chapter 19 Evaluating the Performance of the Survey Parser with the NIST Scheme
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    Chapter 20 Sequences of Part of Speech Tags vs. Sequences of Phrase Labels: How Do They Help in Parsing?
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    Chapter 21 Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
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    Chapter 22 Preposition Senses: Generalized Disambiguation Model
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    Chapter 23 An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features
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    Chapter 24 Extracting Key Phrases to Disambiguate Personal Names on the Web
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    Chapter 25 Chinese Noun Phrase Metaphor Recognition with Maximum Entropy Approach
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    Chapter 26 Zero Anaphora Resolution in Chinese Discourse
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    Chapter 27 Random Walks on Text Structures
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    Chapter 28 Shallow Case Role Annotation Using Two-Stage Feature-Enhanced String Matching
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    Chapter 29 SPARTE, a Test Suite for Recognising Textual Entailment in Spanish
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    Chapter 30 Analysis of a Textual Entailer
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    Chapter 31 Referring Via Document Parts
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    Chapter 32 Generation of Natural Language Explanations of Rules in an Expert System
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    Chapter 33 Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning
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    Chapter 34 NLP (Natural Language Processing) for NLP (Natural Language Programming)
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    Chapter 35 Balancing Transactions in Practical Dialogues
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    Chapter 36 Finite State Grammar Transduction from Distributed Collected Knowledge
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    Chapter 37 Predicting Dialogue Acts from Prosodic Information
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    Chapter 38 Disambiguation Based on Wordnet for Transliteration of Arabic Numerals for Korean TTS
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    Chapter 39 MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features
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    Chapter 40 On Text Ranking for Information Retrieval Based on Degree of Preference
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    Chapter 41 Lexical Normalization and Relationship Alternatives for a Term Dependence Model in Information Retrieval
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    Chapter 42 Web Search Model for Dynamic and Fuzzy Directory Search
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    Chapter 43 Information Retrieval from Spoken Documents
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    Chapter 44 Automatic Image Annotation Based on WordNet and Hierarchical Ensembles
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    Chapter 45 Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-Book Indexes
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    Chapter 46 Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering
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    Chapter 47 Using N-Gram Models to Combine Query Translations in Cross-Language Question Answering
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    Chapter 48 A Question Answering System on Special Domain and the Implementation of Speech Interface
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    Chapter 49 Multi-document Summarization Based on BE-Vector Clustering
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    Chapter 50 Deriving Event Relevance from the Ontology Constructed with Formal Concept Analysis
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    Chapter 51 A Sentence Compression Module for Machine-Assisted Subtitling
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    Chapter 52 Application of Semi-supervised Learning to Evaluative Expression Classification
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    Chapter 53 A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection
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    Chapter 54 A Machine Learning Based Approach for Separating Head from Body in Web-Tables
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    Chapter 55 Clustering Abstracts of Scientific Texts Using the Transition Point Technique
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    Chapter 56 Sense Cluster Based Categorization and Clustering of Abstracts
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    Chapter 57 Analysing Part-of-Speech for Portuguese Text Classification
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    Chapter 58 Improving kNN Text Categorization by Removing Outliers from Training Set
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    Chapter 59 Writing for Language-Impaired Readers
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    Chapter 60 Document Copy Detection System Based on Plagiarism Patterns
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    Chapter 61 Regional vs. Global Robust Spelling Correction
Attention for Chapter 54: A Machine Learning Based Approach for Separating Head from Body in Web-Tables
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Chapter title
A Machine Learning Based Approach for Separating Head from Body in Web-Tables
Chapter number 54
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Berlin, Heidelberg, February 2006
DOI 10.1007/11671299_54
Book ISBNs
978-3-54-032205-4, 978-3-54-032206-1
Authors

Sung-Won Jung, Hyuk-Chul Kwon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Lecturer 1 20%
Student > Master 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 2 40%
Linguistics 2 40%
Unspecified 1 20%