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Aspect-Specific Context Modeling for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims at predicting sentiment polarity (SC) or extracting opinion span (OE) expressed towards a given aspect....
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AdaPIP: Adaptive picture-in-picture guidance for 360° film watching
360° videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful information. To...
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Background on Process-Property Relationship
Additive manufacturing (AM) is an advanced manufacturing technology enabling the production of complex shapes by adding material layer-upon-layer...
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Aspect-Level Sentiment Analysis by Fusing Local Information with Graph Attention Networks
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that requires detecting the sentiment polarity of the target aspect. To...
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Reasoning About Iteration and Recursion Uniformly Based on Big-Step Semantics
A reliable technique for deductive program verification should be proven sound with respect to the semantics of the programming language. For each...
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A novel weight-oriented graph convolutional network for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) determines the sentiment polarity of specific aspects mentioned in the review. However, some existing ABSA...
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Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors
Recently, marine biologists have begun using underwater videos to study species diversity and fish abundance. These techniques generate a large...
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Aspect-Based Sentiment Analysis via Virtual Node Augmented Graph Convolutional Networks
Aspect-based sentiment analysis (ABSA) refers to a fine-grained sentiment analysis task aimed at detecting sentiment polarity towards a given aspect....
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A New Version of Energy-Efficient Optimization Protocol Using ICMA-PSOGA Algorithm in Wireless Sensor Network
In Wireless Sensor Networks (WSNs), the transmission of information through wireless medium is facilitated using nodes which are small and...
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Mitigating Spurious Correlations for Self-supervised Recommendation
Recent years have witnessed the great success of self-supervised learning (SSL) in recommendation systems. However, SSL recommender models are likely...
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Enhancing Implicit Sentiment Learning via the Incorporation of Part-of-Speech for Aspect-Based Sentiment Analysis
Implicit sentiment modeling in aspect-based sentiment analysis is a challenging problem due to complex expressions and the lack of opinion words in...
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Integration of state machine graphical animation and Maude to facilitate characteristic conjecture: an approach to lemma discovery in theorem proving
State Machine Graphical Animation (called SMGA) is a visualization tool that assists formal methods experts in conjecturing characteristics of a...
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Accelerated Subdivision for Clustering Roots of Polynomials Given by Evaluation Oracles
In our quest for the design, the analysis and the implementation of a subdivision algorithm for finding the complex roots of univariate polynomials...
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Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
With the exponential growth of online marketplaces and user-generated content therein, aspect-based sentiment analysis has become more important than...
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The Basics of Feedback Control Systems
In this chapter, an overview of feedback control systems is given. This consists of two parts. The first part concerns the design of feedback...
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Towards Target-Dependent Sentiment Classification in News Articles
Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to...
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Origins and Development of Formal Methods
This chapter offers an historical perspective on the development of Formal Methods for software engineering. It surveys some of the problems and...
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An energy efficient multi-mobile agent itinerary planning approach in wireless sensor networks
Mobile Agent (MA) technology brings many benefits into Wireless Sensor Networks (WSNs), such as saving network bandwidth and enabling energy...
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Entity-level sentiment prediction in Danmaku video interaction
Sentiment analysis in Danmaku video interaction aims at measuring public mood in respect of the video, which is helpful for the potential...
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Building Modeling Languages
Our goal is to automate the development of software in a given domain by using models to describe its essential characteristics and producing...