172 Result(s)
within
Conference Paper
Yi**ang Chen
Data Mining and Knowledge Discovery
Information Storage and Retrieval
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Chapter and Conference Paper
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
In the past few decades, lots of studies were proposed on investigations of brain circuits for physical health, mental health, educational learning, controlling system and so on. However, very few studies conc...
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Chapter and Conference Paper
NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction
Event argument extraction (EAE), aiming at identifying event arguments over multiple sentences, mainly faces data sparsity problem. Cross-domain data augmentation can leverage annotated data to augment trainin...
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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Chapter and Conference Paper
Incorporating Ranking Context for End-to-End BERT Re-ranking
Ranking context has been shown crucial for the performance of learning to rank. Its use for the BERT-based re-rankers, however, has not been fully explored. In this work, an end-to-end BERT-based ranking model...
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Chapter and Conference Paper
A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System
Platform-level passenger flow prediction is crucial for addressing the overcrowding problem on platforms that endangered the passengers’ safety and experience in railway systems. Although some studies exist on...
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Chapter and Conference Paper
Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models
Ancient Chinese literatures are not only the unique cultural heritage of China but also the treasures of world civilization. Nevertheless, it has become quite difficult for modern people to comprehend or even ...
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Chapter and Conference Paper
Emotion Classification with Explicit and Implicit Syntactic Information
Emotion classification has become a hot research topic in natural language processing due to its wide application. Existing studies suffer from the error propagation problem when using the syntax information i...
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Chapter and Conference Paper
On Robustness and Bias Analysis of BERT-Based Relation Extraction
Fine-tuning pre-trained models have achieved impressive performance on standard natural language processing benchmarks. However, the resultant model generalizability remains poorly understood. We do not know, ...
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Chapter and Conference Paper
ISWR: An Implicit Sentiment Words Recognition Model Based on Sentiment Propagation
Considering that there have no efficient methods to detect implicit sentiment words, this paper proposes an implicit sentiment words recognition model based on sentiment propagation to automatically identify i...
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Chapter and Conference Paper
Towards Nested and Fine-Grained Open Information Extraction
Open Information Extraction is a crucial task in natural language processing with wide applications. Existing efforts only work on extracting simple flat triplets that are not minimized, which neglect triplets...
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Chapter and Conference Paper
Document-Level Relation Extraction with Entity Enhancement and Context Refinement
Document-level Relation Extraction (DocRE) is the task of extracting relational facts mentioned in the entire document. Despite its popularity, there are still two major difficulties with this task: (i) How to...
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Chapter and Conference Paper
Various Legal Factors Extraction Based on Machine Reading Comprehension
With the rapid growth of legal cases, professionals are under pressure to go through lengthy documents and grasp informative pieces of text in the limited time. Most of the existing techniques focus on simple ...
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Chapter and Conference Paper
Underwater Information Sensing Method Based on Improved Dual-Coupled Duffing Oscillator Under Lévy Noise Description
Sensing underwater information has become particularly important to obtain information about the marine environment and target characteristics
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Chapter and Conference Paper
Graph Attention Collaborative Similarity Embedding for Recommender System
We present Graph Attention Collaborative Similarity Embedding (GACSE), a new recommendation framework that exploits collaborative information in the user-item bipartite graph for representation learning. Our f...
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Chapter and Conference Paper
An Online Truthful Auction for IoT Data Trading with Dynamic Data Owners
Data is an extremely import asset in modern scientific and commercial society. The life force behind powerful AI or ML algorithms is data, especially lots of data, which makes data trading significantly essential...
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Chapter and Conference Paper
Improving Entity Linking with Graph Networks
Entity linking aims to assign a unique identity to entities mentioned in text given a predefined Knowledge Base. Previous works address this task based on the local or global features or the combination of the...
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Chapter and Conference Paper
Distributed Differential Evolution for Anonymity-Driven Vertical Fragmentation in Outsourced Data Storage
Vertical fragmentation is a promising technique for outsourced data storage. It can protect data privacy while conserving original data without any transformation. Previous vertical fragmentation approaches ne...
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Chapter and Conference Paper
CRAC: An Automatic Assistant Compiler of Checkpoint/Restart for OpenCL Program
Nowadays, people use multiple devices to meet a growing requirement for computing. With the application of multi-card computing, fault tolerance, load balance, and resource sharing have been the hot issues an...
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Chapter and Conference Paper
A Review on Technology, Management and Application of Data Fusion in the Background of Big Data
The purpose of data fusion is to combine multi-source and heterogeneous data to make the data more valuable. Re-examining data fusion under the background of big data, technology has undergone transformation a...
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Chapter and Conference Paper
A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition
Distributed Data-intensive Web service composition (DWSC) implements new applications by using existing Web services distributed over the Internet. DWSC has multiple conflicting objectives, e.g. minimising respon...
