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Computational Linguistics and Intelligent Text Processing

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Table of Contents

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    Book Overview
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    Chapter 1 Combining Graph-Based Dependency Features with Convolutional Neural Network for Answer Triggering
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    Chapter 2 Prediction of Cryptocurrency Market
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    Chapter 3 I-vectors and Deep Convolutional Neural Networks for Language Identification in Clean and Reverberant Environments
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    Chapter 4 Arabic Named Entity Recognition Using Clustered Word Embedding
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    Chapter 5 Connecting the Content of Books to the Web and the Real World
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    Chapter 6 Finding Questions in Medical Forum Posts Using Sequence Labeling Approach
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    Chapter 7 Argumentation in Text: Discourse Structure Matters
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    Chapter 8 A Deep Learning Approach for Multimodal Deception Detection
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    Chapter 9 Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts
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    Chapter 10 Analyzing Stylistic Variation Across Different Political Regimes
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    Chapter 11 Towards Automated Fiqh School Authorship Attribution
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    Chapter 12 Stance and Gender Detection in Spanish Tweets
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    Chapter 13 Natural-Annotation-Based Malay Multiword Expressions Extraction and Clustering
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    Chapter 14 Self-adaptive Privacy Concern Detection for User-Generated Content
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    Chapter 15 Complexity of Russian Academic Texts as the Function of Syntactic Parameters
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    Chapter 16 An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse
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    Chapter 17 Automatic Matching and Expansion of Abbreviated Phrases Without Context
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    Chapter 18 Relation Extraction Datasets in the Digital Humanities Domain and Their Evaluation with Word Embeddings
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    Chapter 19 One World - Seven Thousand Languages (Best Paper Award, Third Place)
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    Chapter 20 Analysis of Speeches in Indian Parliamentary Debates
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    Chapter 21 Enrichment of OntoSenseNet: Adding a Sense-annotated Telugu Lexicon
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    Chapter 22 A Neural Network Classifier Based on Dependency Tree for English-Vietnamese Statistical Machine Translation
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    Chapter 23 The Utility of Hierarchical Phrase-Based Model Machine Translation for Low Resource Languages
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    Chapter 24 Automatic Method to Build a Dictionary for Class-Based Translation Systems
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    Chapter 25 Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation
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    Chapter 26 On the Influence of Machine Translation on Language Origin Obfuscation
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    Chapter 27 Error Classification and Evaluation of Machine Translation Evaluation Metrics for Hindi as a Target Language
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    Chapter 28 Unsupervised Learning of Word Segmentation: Does Tone Matter?
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    Chapter 29 POS, ANA and LEM: Word Embeddings Built from Annotated Corpora Perform Better (Best Paper Award, Second Place)
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    Chapter 30 Automatic Normalization of Word Variations in Code-Mixed Social Media Text
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    Chapter 31 Experiments on Deep Morphological Inflection
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    Chapter 32 Identification of Lemmatization Errors Using Neural Models
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    Chapter 33 Full Inflection Learning Using Deep Neural Networks
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    Chapter 34 Semi-supervised Textual Entailment on Indonesian Wikipedia Data
Attention for Chapter 6: Finding Questions in Medical Forum Posts Using Sequence Labeling Approach
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Chapter title
Finding Questions in Medical Forum Posts Using Sequence Labeling Approach
Chapter number 6
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-23793-5_6
Book ISBNs
978-3-03-123792-8, 978-3-03-123793-5

Ekakristi, Adrianus Saga, Mahendra, Rahmad, Adriani, Mirna

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