HyEnA: A Hybrid Method for Extracting Arguments from Opinions

The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...

A Collaborative Platform for Identifying Context-Specific Values

Value alignment is a crucial aspect of ethical multiagent systems. An important step toward value alignment is identifying values specific to an application context. However, identifying contextspecific values is complex and cognitively demanding. To support this process, we develop a methodology and a collaborative web platform that employs AI...

A Formal Graphical Language of Interdependence in Teamwork

Agents in teamwork may be highly interdependent on each other, the awareness of interdependence relationships is an important requirement for designing and consequently implementing a multi-agent system. In this work, we propose a formal graphical and domain-independent language that can facilitate the identification of comprehensive...