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Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques
The study of context-awareness in multi-turn generation-based dialogue modeling is an important but relatively underexplored topic. Prior research...
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Commonsense Causal Modeling in the Data Mining Context
Commonsense causal reasoning is important to human reasoning. Causality itself as well as human understanding of causality is imprecise, sometimes...
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Percentage Comparison of Fuzzy Numbers Using a Newly Presented Method in the Context of Surrogate Modeling
The O-index presented here allows a statement about the percentage deviation between two fuzzy numbers. For this purpose, one fuzzy number is defined...
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Dialogue emotion model based on local–global context encoder and commonsense knowledge fusion attention
Emotion Recognition in Conversation (ERC) is a task aimed at predicting the emotions conveyed by an utterance in a dialogue. It is common in ERC...
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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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A Grid-Based and a Context-Oriented Trajectory Modeling for Mobility Prediction in Smart Cities
In the last decade, mobility prediction has played a crucial role in urban planning, traffic forecasting, advertising, and service recommendation....
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Riboformer: a deep learning framework for predicting context-dependent translation dynamics
Translation elongation is essential for maintaining cellular proteostasis, and alterations in the translational landscape are associated with a range...
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Context-aware generative prompt tuning for relation extraction
Relation extraction is designed to extract semantic relation between predefined entities from text. Recently, prompt tuning has achieved promising...
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Modeling Behavioral Persistence with Resurgence as Choice in Context (RaC2): A Tutorial
Resurgence as Choice in Context (RaC 2 ) is a quantitative model for evaluating the reemergence of a previously extinguished response when alternative...
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Modeling of a homogeneous isotropic half space in the context of multi-phase lag coupled thermoelasticity
A two-dimensional multi-phase lag model in the context of generalized thermoelasticity is established for an isotropic half-space medium. A...
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Personalized behavior modeling network for human mobility prediction
Predicting human mobility is essential for urban planning and personalized services. The problem addressed in this study is analyzing user behavior...
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Modeling Context-Aware Events and Responses in an IoT Environment
The Internet of Things (IoT) involves the use of devices that exchange information about the state of things in the real world. In IoT, monitoring is...
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Business Modeling and (Human) Context Awareness
Business is a social endeavour, performed by humans, requiring flexibility and adaptation to a dynamic environment. Efficiency and stability in...
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Modeling and Simulation of Coalescence in the Context of Oil Mist Filtration
Today, aerosols are generated in many industrial processes like machining or in pneumatic compressors. The harmfulness of these droplets often lies...
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Modeling Methods
Following the methodology in Chap. 8 , here we summarize the modeling methods applied to quantify...
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Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection
Current object detectors typically have a feature pyramid (FP) module for multi-level feature fusion (MFF) which aims to mitigate the gap between...
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Endothelial Dysfunction in the Context of Blood–Brain Barrier Modeling
AbstractHere, we discuss pathophysiological approaches to the defining of endothelial dysfunction criteria (i.e., endothelial activation, impaired...
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Mathematical Modeling of the Dynamics of Crisis Situations and Optimization of Capital Relocation Market Management in the Context of Globalization in the World Financial and Economic System
The article continues a series of studies analyzing the features of capital relocation (movement) and mathematical modeling of the dynamics of the...
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Gamification Framework for Participatory Modeling: A Proposal
Problem structuring methods imply the involvement of stakeholders and aim to create a shared understanding of the problem and commitment among them....
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Diluie: constructing diverse demonstrations of in-context learning with large language model for unified information extraction
Large language models (LLMs) have demonstrated promising in-context learning capabilities, especially with instructive prompts. However, recent...
