Natural language processing and Chinese computing : 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings.: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings. Part I (2019)

• Record Type: Book
• Other Titles: NLPCC 2019
• Further Information: Note: Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan (eds.).
• Editors: Tang, Jie; Kan, Min-Yen; Zhao, Dongyan; Li, Sujian; Zan, Hongying
• Other Names: NLPCC (Conference), 8th
• Contents: Intro; Preface; Organization; Contents -- Part I; Contents -- Part II; Conversational Bot/QA/IR; Variational Attention for Commonsense Knowledge Aware Conversation Generation; 1 Introduction; 2 Related Work; 3 Model Description; 3.1 Task Definition; 3.2 Background: Knowledge Aware Framework; 3.3 Variational Attention for Knowledge Incorporation; 4 Experiments; 4.1 Data; 4.2 Settings; 4.3 Baselines; 4.4 Automatic Evaluation; 4.5 Manual Evaluation; 4.6 Extra Accurate Incorporation Evaluation; 4.7 Study Case; 5 Conclusion; References; Improving Question Answering by Commonsense-Based Pre-training 1 Introduction2 Tasks and Datasets; 3 Commonsense Knowledge; 4 Approach Overview; 5 Commonsense-Based Model; 6 Experiment; 6.1 Model Comparisons and Analysis; 6.2 Error Analysis and Discussion; 7 Related Work; 8 Conclusion; References; Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 Densely-Connected Fusion Attentive Network; 3.2 Strategies; 4 Experiments; 4.1 Datasets; 4.2 Results of the DFAN Model; 4.3 Comparisons Between Strategies; 5 Analysis and Discussion; 5.1 Ablation Study on DFAN; 5.2 Effect of Data Size 6 Conclusion and Future WorkReferences; Multilingual Dialogue Generation with Shared-Private Memory; 1 Introduction; 2 Related Works; 2.1 Dialogue Systems; 2.2 Memory Networks; 2.3 Multi-task Learning; 3 Model; 3.1 Preliminary Background Knowledge; 3.2 Key-Value Memory Augmented Seq2Seq; 3.3 Seq2Seq with Shared-Private Memory; 4 Experimental Settings; 4.1 Datasets; 4.2 Evaluation Metrics; 4.3 Implementation Details; 4.4 Comparisons; 5 Results and Analysis; 5.1 Monolingual Models; 5.2 Multilingual Models; 5.3 Model Analysis; 6 Conclusion; References Learning Personalized End-to-End Task-Oriented Dialogue Generation1 Introduction; 2 Related Work; 3 Method; 3.1 Problem Definition; 3.2 Framework Structure; 3.3 Training Objective; 4 Experimental Setup; 4.1 Experimental Data; 4.2 Model Configurations; 4.3 Baseline Methods; 4.4 Evaluation Metrics; 5 Experimental Results; 5.1 Ablation Study; 6 Conclusion and Future Work; References; SMART: A Stratified Machine Reading Test; 1 Introduction; 2 Related Work; 2.1 Related English Machine Comprehension Data Sets; 2.2 Related Chinese Machine Comprehension Data Sets; 3 Constructing the SMART Data Set 3.1 Source Data Preparation3.2 Stratified Question and Answer Design; 3.3 Key Statistics of the Data Set; 4 Establishing a Baseline; 5 Experiments; 6 Conclusion and Future Work; References; How Question Generation Can Help Question Answering over Knowledge Base; 1 Introduction; 2 Our Approach; 2.1 Dual Learning; 2.2 Fine Tuning; 3 Models; 3.1 QA Model; 3.2 QG Model; 4 Experiment; 4.1 Setup; 4.2 Relation Detection Results; 4.3 Comparison Results of Dual Learning; 4.4 QG Performance; 4.5 KBQA End-Task Results; 4.6 Case Study; 5 Related Work; 6 Conclusion; References
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 006.3; Natural language processing (Computer science) -- Congresses; Chinese language -- Data processing -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030322335; 3030322335
• Related ISBNs: 9783030322328
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 11, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.