期刊： ARTIFICIAL INTELLIGENCE, 2021; 296 ()
In aspect-based sentiment analysis (ABSA), many neural models are equipped with an attention mechanism to quantify the contribution of each context wo......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 292 ()
Dependency syntax has been demonstrated highly useful for a number of natural language processing (NLP) tasks. Typical approaches of utilizing depende......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 293 ()
Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been p......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 293 ()
We study the problem of fair division when the set of resources contains both divisible and indivisible goods. Classic fairness notions such as envy-f......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 294 ()
This paper proposes a logical framework for representing and reasoning about imperfect information games. We first extend Game Description Language (G......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 296 ()
Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests,......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 296 ()
Various logical notions of know-how have been recently proposed and studied in the literature based on different types of epistemic planning in differ......
期刊： ARTIFICIAL INTELLIGENCE, 2021; 292 ()
In this paper, we propose a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by learning a nonl......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 287 ()
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) about various types of data items (e.g. text, audio,......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 287 ()
Maximum Satisfiability (MaxSAT) is a basic and important constraint optimization problem. When dealing with both hard and soft constraints, the MaxSAT......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 287 ()
Epistemic planning can be used for decision making in multi-agent systems with distributed knowledge and capabilities. Dynamic Epistemic Logic (DEL) h......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 287 ()
A framework and methodology-termed LOGIKEY-for the design and engineering of ethical reasoners, normative theories and deontic logics is presented. Th......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 287 ()
We propose a framework for incorporating public opinion into policy making in situations where values are in conflict. This framework advocates creati......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 279 ()
Original and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solvers often contain redundant literals. This may have a negative impact on......
期刊： ARTIFICIAL INTELLIGENCE, 2020; 280 ()
The maximum weight clique problem (MWCP) is an important generalization of the maximum clique problem with wide applications. In this study, we develo......
