We introduce an approach for physically-grounded natural language interpretation by robots which reacts appropriately to unanticipated physical changes in the environment and dyna...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
Many existing indexes on text work at the document granularity and are not effective in answering the class of queries where the desired answer is only a term or a phrase. In this...
We describe our experiences with the process of designing a domain-specific language (DSL) and corresponding model transformations. The simultaneous development of the language an...
Marcel van Amstel, Mark van den Brand, Luc Engelen
—This paper presents Anahita Processor Description Language (APDL) for generation of retargetable processor design tool sets. The emphasis is on the applicability of the generate...
Nima Honarmand, Hasan Sohofi, Maghsoud Abbaspour, ...