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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 Using Word Association Norms to Measure Corpus Representativeness
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    Chapter 2 Optimality Theory as a Framework for Lexical Acquisition
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    Chapter 3 Verb Clustering for Brazilian Portuguese
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    Chapter 4 Spreading Relation Annotations in a Lexical Semantic Network Applied to Radiology
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    Chapter 5 Issues in Encoding the Writing of Nepal’s Languages
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    Chapter 6 Compound Terms and Their Multi-word Variants: Case of German and Russian Languages
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    Chapter 7 A Fully Automated Approach for Arabic Slang Lexicon Extraction from Microblogs
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    Chapter 8 Simple TF·IDF Is Not the Best You Can Get for Regionalism Classification
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    Chapter 9 Improved Text Extraction from PDF Documents for Large-Scale Natural Language Processing
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    Chapter 10 Computational Linguistics and Intelligent Text Processing
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    Chapter 11 Obtaining Better Word Representations via Language Transfer
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    Chapter 12 Exploring Applications of Representation Learning in Nepali
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    Chapter 13 Topic Models Incorporating Statistical Word Senses
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    Chapter 14 How Preprocessing Affects Unsupervised Keyphrase Extraction
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    Chapter 15 Methods and Algorithms for Unsupervised Learning of Morphology
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    Chapter 16 Morphological Analysis of the Bishnupriya Manipuri Language Using Finite State Transducers
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    Chapter 17 A Hybrid Approach to the Development of Part-of-Speech Tagger for Kafi-noonoo Text
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    Chapter 18 Modified Differential Evolution for Biochemical Name Recognizer
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    Chapter 19 Extended CFG Formalism for Grammar Checker and Parser Development
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    Chapter 20 Dealing with Function Words in Unsupervised Dependency Parsing
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    Chapter 21 When Rules Meet Bigrams
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    Chapter 22 Methodology for Connecting Nouns to Their Modifying Adjectives
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    Chapter 23 Constituency Parsing of Complex Noun Sequences in Hindi
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    Chapter 24 Amharic Sentence Parsing Using Base Phrase Chunking
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    Chapter 25 A Machine Learning Approach to Pronominal Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems
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    Chapter 26 A Maximum Entropy Based Honorificity Identification for Bengali Pronominal Anaphora Resolution
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    Chapter 27 Computational Linguistics and Intelligent Text Processing
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    Chapter 28 Annotation Game for Textual Entailment Evaluation
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    Chapter 29 Axiomatizing Complex Concepts from Fundamentals
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    Chapter 30 A Semantics Oriented Grammar for Chinese Treebanking
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    Chapter 31 Computational Linguistics and Intelligent Text Processing
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    Chapter 32 Sense-Specific Implicative Commitments
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    Chapter 33 A Tiered Approach to the Recognition of Metaphor
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    Chapter 34 Knowledge Discovery with CRF-Based Clustering of Named Entities without a Priori Classes
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    Chapter 35 Semi-supervised SRL System with Bayesian Inference
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    Chapter 36 A Sentence Similarity Method Based on Chunking and Information Content
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    Chapter 37 An Investigation on the Influence of Genres and Textual Organisation on the Use of Discourse Relations
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    Chapter 38 Discourse Tagging for Indian Languages
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    Chapter 39 Classification-Based Referring Expression Generation
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    Chapter 40 Generating Relational Descriptions Involving Mutual Disambiguation
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    Chapter 41 Bayesian Inverse Reinforcement Learning for Modeling Conversational Agents in a Virtual Environment
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    Chapter 42 Learning to Summarize Time Series Data
Attention for Chapter 4: Spreading Relation Annotations in a Lexical Semantic Network Applied to Radiology
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Citations

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Chapter title
Spreading Relation Annotations in a Lexical Semantic Network Applied to Radiology
Chapter number 4
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Berlin, Heidelberg, April 2014
DOI 10.1007/978-3-642-54906-9_4
Book ISBNs
978-3-64-254905-2, 978-3-64-254906-9
Authors

Lionel Ramadier, Manel Zarrouk, Mathieu Lafourcade, Antoine Micheau, Ramadier, Lionel, Zarrouk, Manel, Lafourcade, Mathieu, Micheau, Antoine

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
India 1 25%
Unknown 2 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%

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