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Future and Emerging Trends in Language Technology. Machine Learning and Big Data

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Cover of 'Future and Emerging Trends in Language Technology. Machine Learning and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 With or Without Meaning? Hype Cycles in Language Technology and What We Can Learn from Them
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    Chapter 2 Observatory for Language Resources and Machine Translation in Europe – LT_Observatory
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    Chapter 3 The Rise of the Conversational Interface: A New Kid on the Block?
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    Chapter 4 Spanish Language Technologies Plan
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    Chapter 5 Improving Collaboration Between the European Language Technology Industry and Research: A New Framework for Supply and Demand
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    Chapter 6 LifeLine Dialogues with Roberta
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    Chapter 7 An Affective Utility Model of User Motivation for Counselling Dialogue Systems
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    Chapter 8 Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres
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    Chapter 9 Bootstrapping Technique + Embeddings = Emotional Corpus Annotated Automatically
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    Chapter 10 Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video
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    Chapter 11 Incorporating Syllable Phonotactics to Improve Grapheme to Phoneme Translation
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    Chapter 12 Hybrid Conceptual and Statistical Measure for Semantic Textual Similarity Evaluation
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    Chapter 13 General Representation Model for Text Similarity
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    Chapter 14 Extending Feature Decay Algorithms Using Alignment Entropy
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    Chapter 15 Towards a Topic Discovery and Tracking System with Application to News Items
Attention for Chapter 12: Hybrid Conceptual and Statistical Measure for Semantic Textual Similarity Evaluation
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Chapter title
Hybrid Conceptual and Statistical Measure for Semantic Textual Similarity Evaluation
Chapter number 12
Book title
Future and Emerging Trends in Language Technology. Machine Learning and Big Data
Published by
Springer, Cham, November 2016
DOI 10.1007/978-3-319-69365-1_12
Book ISBNs
978-3-31-969364-4, 978-3-31-969365-1
Authors

Alejandro Tarafa Guzmán, Ademar Ferreira

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