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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 Discourse Markers as the Classificatory Factors of Speech Acts
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    Chapter 2 DIFM: An Effective Deep Interaction and Fusion Model for Sentence Matching
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    Chapter 3 ConIsI: A Contrastive Framework with Inter-sentence Interaction for Self-supervised Sentence Representation
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    Chapter 4 Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms
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    Chapter 5 EventBERT: Incorporating Event-Based Semantics for Natural Language Understanding
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    Chapter 6 An Exploration of Prompt-Based Zero-Shot Relation Extraction Method
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    Chapter 7 Abstains from Prediction: Towards Robust Relation Extraction in Real World
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    Chapter 8 Using Extracted Emotion Cause to Improve Content-Relevance for Empathetic Conversation Generation
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    Chapter 9 To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization
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    Chapter 10 MRC-Based Medical NER with Multi-task Learning and Multi-strategies
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    Chapter 11 A Multi-Gate Encoder for Joint Entity and Relation Extraction
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    Chapter 12 Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning
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    Chapter 13 Towards Making the Most of Pre-trained Translation Model for Quality Estimation
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    Chapter 14 Supervised Contrastive Learning for Cross-Lingual Transfer Learning
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    Chapter 15 Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain
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    Chapter 16 TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing
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    Chapter 17 COMPILING: A Benchmark Dataset for Chinese Complexity Controllable Definition Generation
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    Chapter 18 Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack
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    Chapter 19 Dynamic Negative Example Construction for Grammatical Error Correction Using Contrastive Learning
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    Chapter 20 SPACL: Shared-Private Architecture Based on Contrastive Learning for Multi-domain Text Classification
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    Chapter 21 Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger
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    Chapter 22 Fundamental Analysis Based Neural Network for Stock Movement Prediction
Attention for Chapter 22: Fundamental Analysis Based Neural Network for Stock Movement Prediction
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Chapter title
Fundamental Analysis Based Neural Network for Stock Movement Prediction
Chapter number 22
Book title
Chinese Computational Linguistics
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-18315-7_22
Book ISBNs
978-3-03-118314-0, 978-3-03-118315-7
Authors

Zheng, Yangjia, Li, Xia, Ma, Junteng, Chen, Yuan

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