PRICAI 2021 : trends in artificial intelligence : 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021 : proceedings. Part II / Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu (eds.)
This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021. The 93 full papers and 28 short papers presented in these volumes were c...
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| Format: | Conference Proceeding eBook |
| Language: | English |
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Springer,
[2021]
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| Series: | Lecture notes in computer science ;
13032. LNCS sublibrary. Artificial intelligence. Lecture notes in computer science. Lecture notes in artificial intelligence. |
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Table of Contents:
- Intro
- Preface
- Organization
- Contents
- Part II
- Natural Language Processing
- A Calibration Method for Sentiment Time Series by Deep Clustering
- 1 Introduction
- 2 Related Work
- 3 Methods
- 3.1 Sentence Embedding
- 3.2 Representative Sampling
- 3.3 Sentiment Score Calibration
- 4 Experiment
- 4.1 Dataset
- 4.2 Baselines
- 4.3 Experimental Settings
- 4.4 Evaluation Metrics
- 4.5 Analysis of the Parameter Cluster Number
- 4.6 Compare with Random Sampling
- 5 Conclusion
- References
- A Weak Supervision Approach with Adversarial Training for Named Entity Recognition.
- 1 Introduction
- 2 Related Work
- 3 Approach
- 3.1 Labeling Functions
- 3.2 WSAT: Weak Supervision Approach with Adversarial Training
- 4 Experimental Results
- 4.1 Dataset
- 4.2 Baselines
- 4.3 Results and Discussion
- 5 Conclusion
- References
- An Attention-Based Approach to Accelerating Sequence Generative Adversarial Nets
- 1 Introduction
- 2 Related Work
- 3 Our Approach
- 3.1 Attention-Based Discriminator
- 3.2 Attention to Rewards
- 3.3 Training of G
- 4 Experiments
- 4.1 Training Settings
- 4.2 Baselines
- 4.3 Evaluation Metrics
- 4.4 Synthetic Data Experiments.
- 4.5 Dialogue Generation: DailyDialog
- 4.6 Internal Comparison Experiments
- 5 Conclusion and Future Work
- References
- Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation
- 1 Introduction
- 2 Background
- 3 Method
- 3.1 Partial Factorization Sequence Acquisition
- 3.2 NMT Model Integrated with Autoregressive Based XLNet
- 3.3 Knowledge Distillation Method
- 4 Experiments
- 4.1 Results and Analysis
- 4.2 Ablation Experiments
- 4.3 Case Study
- 5 Conclusion
- References.
- Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing
- 1 Introduction
- 2 Related Work
- 3 Three Improvements
- 3.1 Parent-Scaled Self-attention (PASCAL)
- 3.2 Syntax-Aware Word Representations (SAWRs)
- 3.3 Constituent Attention (CA)
- 4 Combining Improvements
- 5 Experiments
- 5.1 Datasets
- 5.2 Evaluation Metrics
- 5.3 Implementation Details
- 5.4 Results
- 5.5 Visual Analysis
- 6 Conclusion
- References
- Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction
- 1 Introduction.
- 2 Related Work
- 3 Task Definition and Tagging Scheme
- 4 The Proposed Model
- 4.1 Representations of Token and Relation
- 4.2 Deep Semantics Fusion
- 4.3 Triple Extraction
- 4.4 Training
- 5 Experiments
- 5.1 Dataset and Experimental Settings
- 5.2 Baselines and Evaluation Metrics
- 5.3 Experimental Results
- 6 Analysis
- 6.1 Ablation Study
- 6.2 Parameter Analysis
- 6.3 Analysis on Different Sentence Types
- 7 Conclusion
- References
- Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets
- 1 Introduction
- 2 Methodology
- 2.1 NLI Datasets from News Articles.