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Computational Linguistics

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Cover of 'Computational Linguistics'

Table of Contents

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    Book Overview
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    Chapter 1 A Submodular Approach for Reference Recommendation
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    Chapter 2 Split First and Then Rephrase: Hierarchical Generation for Sentence Simplification
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    Chapter 3 Abstractive Text Summarization Using LSTMs with Rich Features
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    Chapter 4 SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders
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    Chapter 5 Learning to Compose Relational Embeddings in Knowledge Graphs
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    Chapter 6 Context-Guided Self-supervised Relation Embeddings
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    Chapter 7 Evaluation of Embedded Vectors for Lexemes and Synsets Toward Expansion of Japanese WordNet
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    Chapter 8 Neural Rasch Model: How Do Word Embeddings Adjust Word Difficulty?
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    Chapter 9 Dynamic Fusion: Attentional Language Model for Neural Machine Translation
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    Chapter 10 Improving Context-Aware Neural Machine Translation with Target-Side Context
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    Chapter 11 Learning to Evaluate Neural Language Models
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    Chapter 12 Recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms
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    Chapter 13 Document Classification by Word Embeddings of BERT
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    Chapter 14 Deep Domain Adaptation for Low-Resource Cross-Lingual Text Classification Tasks
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    Chapter 15 Multi-task Learning for Aspect and Polarity Recognition on Vietnamese Datasets
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    Chapter 16 Evaluating Classification Algorithms for Recognizing Figurative Expressions in Japanese Literary Texts
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    Chapter 17 Model-Driven Web Page Segmentation for Non Visual Access
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    Chapter 18 Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection
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    Chapter 19 A Pilot Study on Argument Simplification in Stance-Based Opinions
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    Chapter 20 Automatic Approval of Online Comments with Multiple-Encoder Networks
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    Chapter 21 Is the Simplest Chatbot Effective in English Writing Learning Assistance?
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    Chapter 22 Towards Task-Oriented Dialogue in Mixed Domains
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    Chapter 23 Timing Prediction of Facilitating Utterance in Multi-party Conversation
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    Chapter 24 Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering
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    Chapter 25 Multiple Linear Regression of Combined Pronunciation Ease and Accuracy Index
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    Chapter 26 Rap Lyrics Generation Using Vowel GAN
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    Chapter 27 Emotion Recognition for Vietnamese Social Media Text
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    Chapter 28 Effects of Soft-Masking Function on Spectrogram-Based Instrument - Vocal Separation
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    Chapter 29 Japanese Predicate Argument Structure Analysis with Pointer Networks
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    Chapter 30 An Experimental Study on Constituency Parsing for Vietnamese
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    Chapter 31 Antonyms-Synonyms Discrimination Based on Exploiting Rich Vietnamese Features
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    Chapter 32 Towards a UMLS-Integratable Vietnamese Medical Terminology
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    Chapter 33 Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture
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    Chapter 34 An Assessment of Substitute Words in the Context of Academic Writing Proposed by Pre-trained and Specific Word Embedding Models
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    Chapter 35 Effective Approach to Joint Training of POS Tagging and Dependency Parsing Models
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    Chapter 36 Towards Computing Inferences from English News Headlines
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    Chapter 37 Extraction of Food Product and Shop Names from Blog Articles Using Named Entity Recognition
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    Chapter 38 Transfer Learning for Information Extraction with Limited Data
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    Chapter 39 Self-deprecating Humor Detection: A Machine Learning Approach
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    Chapter 40 Deep Learning Approach for Vietnamese Consonant Misspell Correction
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    Chapter 41 Grammatical Error Correction for Vietnamese Using Machine Translation
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    Chapter 42 Developing a Framework for a Thai Plagiarism Corpus
Attention for Chapter 18: Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection
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Chapter title
Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection
Chapter number 18
Book title
Computational Linguistics
Published by
Springer, Singapore, October 2019
DOI 10.1007/978-981-15-6168-9_18
Book ISBNs
978-9-81-156167-2, 978-9-81-156168-9
Authors

Fei Wang, Robert J. Ross, John D. Kelleher

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%