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Re-FrameNet is a project to build an electronic resource of common verbs for Human-Robot Interaction and automated task planning of intelligent robots/agents. The knowledge of common verbs in Re-FrameNet is extracted from FrameNet (Baker, Fillmore, and Lowe 1998) and other semantic dictionaries, and rewritten into formal expressions in a meta-language which can be employed by automated planners. Therefore, whenever a robot/agent needs knowledge of common verbs, it can search Re-FrameNet and may get the rewritten knowledge in the formal expression. More and more rewritten knowledge of common verbs will be added into Re-FrameNet in this project.
There are many works on utilizing open-source resources for robots to understand and accomplish user tasks (e.g., Fong, Thorpe, and Baur 2003; Tenorth, Nyga, and Beetz 2010; Tenorth et al. 2011; Cantrell et al. 2012; Chen et al. 2012; Nyga and Beetz 2012; Chen et al. 2013). However, as observed in our previous efforts on enabling open-source knowledge resources for robot task planning (Chen et al. 2012), common verbs are normally not explained in these knowledge resources, so that a very large proportion of user tasks cannot be planned with the knowledge in these resources. This class of knowledge gap constitutes a bottleneck of utilizing existing open knowledge from online resources for task planning. To attack the bottleneck, definitions of common verbs are extracted from semantic dictionaries, especially FrameNet, and rewritten into a meta-language representation. We have also developed robot planners (Chen et al. 2012; Chen et al. 2013) that can use the rewritten knowledge in Re-FrameNet to generate plans for user tasks.
You can access the linked site. The left part of that websites is Frame Index from FrameNet. When you select a frame and click it, you will see the right part showing all the meta-language expressions of the frame for a verb.|
The Re-FrameNet Project :click here
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