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Chinese Computational Linguistics

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Cover of 'Chinese Computational Linguistics'

Table of Contents

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    Book Overview
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    Chapter 1 Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method
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    Chapter 2 Low-Resource Machine Translation Based on Asynchronous Dynamic Programming
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    Chapter 3 Uyghur Metaphor Detection via Considering Emotional Consistency
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    Chapter 4 Incorporating Translation Quality Estimation into Chinese-Korean Neural Machine Translation
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    Chapter 5 Emotion Classification of COVID-19 Chinese Microblogs Based on the Emotion Category Description
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    Chapter 6 Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning
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    Chapter 7 Using Query Expansion in Manifold Ranking for Query-Oriented Multi-document Summarization
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    Chapter 8 Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization
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    Chapter 9 Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
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    Chapter 10 Enhancing Question Generation with Commonsense Knowledge
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    Chapter 11 Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain
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    Chapter 12 Category-Based Strategy-Driven Question Generator for Visual Dialogue
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    Chapter 13 From Learning-to-Match to Learning-to-Discriminate: Global Prototype Learning for Few-shot Relation Classification
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    Chapter 14 Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension
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    Chapter 15 LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering
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    Chapter 16 Meaningfulness and Unit of Zipf’s Law: Evidence from Danmu Comments
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    Chapter 17 Unifying Discourse Resources with Dependency Framework
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    Chapter 18 A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph
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    Chapter 19 Morphological Analysis Corpus Construction of Uyghur
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    Chapter 20 Improving Entity Linking by Encoding Type Information into Entity Embeddings
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    Chapter 21 A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss
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    Chapter 22 NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification
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    Chapter 23 A Trigger-Aware Multi-task Learning for Chinese Event Entity Recognition
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    Chapter 24 Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising
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    Chapter 25 Global Entity Alignment with Gated Latent Space Neighborhood Aggregation
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    Chapter 26 Few-Shot Charge Prediction with Multi-grained Features and Mutual Information
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    Chapter 27 Sketchy Scene Captioning: Learning Multi-level Semantic Information from Sparse Visual Scene Cues
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    Chapter 28 BDCN: Semantic Embedding Self-explanatory Breast Diagnostic Capsules Network
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    Chapter 29 GCN with External Knowledge for Clinical Event Detection
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    Chapter 30 A Prompt-Independent and Interpretable Automated Essay Scoring Method for Chinese Second Language Writing
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    Chapter 31 A Robustly Optimized BERT Pre-training Approach with Post-training
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Title
Chinese Computational Linguistics
Published by
Springer International Publishing, October 2021
DOI 10.1007/978-3-030-84186-7
ISBNs
978-3-03-084185-0, 978-3-03-084186-7
Editors

Li, Sheng, Sun, Maosong, Liu, Yang, Wu, Hua, Kang, Liu, Che, Wanxiang, He, Shizhu, Rao, Gaoqi