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Human Language Technology. Challenges for Computer Science and Linguistics

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Cover of 'Human Language Technology. Challenges for Computer Science and Linguistics'

Table of Contents

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    Book Overview
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    Chapter 1 Creating Norwegian Valence Resources from a Deep Grammar
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    Chapter 2 How to Improve Optical Character Recognition of Historical Finnish Newspapers Using Open Source Tesseract OCR Engine – Final Notes on Development and Evaluation
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    Chapter 3 Fine-Tuning Tree-LSTM for Phrase-Level Sentiment Classification on a Polish Dependency Treebank
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    Chapter 4 Supervised Transfer Learning for Sequence Tagging of User-Generated-Content in Social Media
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    Chapter 5 Investigating the Lack of Consensus Among Sentiment Analysis Tools
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    Chapter 6 Automated Normalization and Analysis of Historical Texts
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    Chapter 7 PADI-web: An Event-Based Surveillance System for Detecting, Classifying and Processing Online News
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    Chapter 8 KRNNT: Polish Recurrent Neural Network Tagger Extended
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    Chapter 9 Experiments with Automatic and Semi-automatic Detection of Sparse Word Forms in Old Braj
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    Chapter 10 Towards Better Text Processing Tools for the Ainu Language
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    Chapter 11 The Harmonia Corpus – A Dialogue Corpus for Automatic Analysis of Phonetic Convergence
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    Chapter 12 Resources and Tools for Automated Speech Segmentation of the African Language Naija (Nigerian Pidgin)
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    Chapter 13 Speaker Variability for Emotions Classification in African Tone Languages
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    Chapter 14 Analysis of Polish Nasalized Vowels Based on Spatial Energy Distribution and Formant Frequency Measurement
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    Chapter 15 RNN Language Model Estimation for Out-of-Vocabulary Words
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    Chapter 16 Automatic Pairing of Perfective and Imperfective Verbs in Polish
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    Chapter 17 Transforming Syntactic Relations in Attributive Groups
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    Chapter 18 Syntactic-Semantic Classes of Context-Sensitive Synonyms Based on a Bilingual Corpus
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    Chapter 19 Towards the Evaluation of Feature Embedding Models of the Fusional Languages
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    Chapter 20 Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’
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    Chapter 21 Sentence Answer Selection for Open Domain Question Answering via Deep Word Matching
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    Chapter 22 On the Contribution of Specific Entity Detection in Comparative Constructions to Automatic Spin Detection in Biomedical Scientific Publications
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    Chapter 23 Automatic Taxonomy Generation: A Use-Case in the Legal Domain
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    Chapter 25 Title Categorization Based on Category Granularity
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    Chapter 26 Identification of Domain-Specific Senses Based on Word Embedding Learning
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Title
Human Language Technology. Challenges for Computer Science and Linguistics
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-66527-2
ISBNs
978-3-03-066526-5, 978-3-03-066527-2
Editors

Zygmunt Vetulani, Patrick Paroubek, Marek Kubis

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