Information Retrieval

Name: Information Retrieval | 28th China Conference, CCIR 2022, Chongqing, China, September 16-18, 2022, Revised Selected Papers
Brand: Springer
Price: 58.84 EUR
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28th China Conference, CCIR 2022, Chongqing, China, September 16-18, 2022, Revised Selected Papers

Yi Chang Xiaofei Zhu(Editor)

Springer (Publisher)

Published on 2. February 2023

XI, 105 pages

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978-3-031-24755-2 (ISBN)

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Content

Intro
Preface
Organization
Contents
A Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition
1 Introduction
2 Related Work
3 Methodology
3.1 The Definition of Emotion Cause Recognition
3.2 Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition
3.3 Model Training
4 Experiment
4.1 Experimental Settings
4.2 Experimental Results
4.3 Qualitative Analysis
5 Conclusion and Future Work
References
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
1 Introduction
2 Preliminaries
3 Methodology
3.1 ID-Agnostic User Behavior Pre-training
3.2 Fine-Tuning for Recommendation
4 Experiments
4.1 Experimental Setup
4.2 Experimental Results
5 Related Work
6 Conclusion
References
Enhance Performance of Ad-hoc Search via Prompt Learning
1 Introduction
2 Related Work
2.1 Ad Hoc Search with PTM
2.2 Prompt Learning
3 Preliminary
3.1 Ad hoc Search
3.2 Prompt Learning
4 Methodology
5 Experiments
5.1 Dataset and Metric
5.2 Experimental Setup
5.3 Result and Analysis
5.4 Case Study
6 Conclusion
References
Syntax-Aware Transformer for Sentence Classification
1 Introduction
2 Syntax-Aware Transformer
2.1 Syntactic Subnetwork
2.2 Semantic Subnetwork
2.3 Merging Layer
3 Experiments
3.1 Datasets
3.2 Experimental Settings
3.3 Baseline Models
3.4 Results and Discussion
3.5 Case Study
4 Conclusions
References
Evaluation of Deep Reinforcement Learning Based Stock Trading
1 Introduction
2 Related Works
3 RL Modeling of Stock Trading
3.1 Problem Description
3.2 Mathematical Presentation
3.3 Trading Details
3.4 Feasibility Analysis of RL-Based Stock Trading
4 Experiments
4.1 Stock Dataset
4.2 Methodology
4.3 Results
5 Conclusion and Future Works
References
InDNI: An Infection Time Independent Method for Diffusion Network Inference
1 Introduction
2 Related Work
3 Problem Statement
4 InDNI Algorithm
4.1 Node Representation Learning
4.2 Similarity Measure
4.3 Filtering Candidate Node Pairs
4.4 Network Inference
5 Experiments
5.1 Experimental Setup
5.2 Results and Discussion
6 Conclusion and Future Work
References
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
1 Introduction
2 Related Work
2.1 Initial Retrieval
2.2 Neural Representations for IR
3 Our Approach
3.1 Symbolic Index
3.2 Neural Index
3.3 Parallel Search Scheme
3.4 Sequential Search Scheme
3.5 Discussions
4 Experiments
4.1 Baselines and Experimental Settings
4.2 Evaluation Methodology
4.3 Retrieval Performance and Analysis
4.4 Analysis on Retrieved Relevant Documents
5 Conclusions
References
A Learnable Graph Convolutional Neural Network Model for Relation Extraction
1 Introduction
2 Related Work
3 Model
3.1 Input Representation Layer
3.2 Fusion Module
3.3 Classification Module
4 Experiments
4.1 Datasets
4.2 Hyper-parameter Setting
4.3 Overall Performance
4.4 Ablation Study
4.5 Effect of Length of Each Part
5 Conclusion and Future Work
References
Author Index

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Information Retrieval

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