In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
This paper proposes a novel framework called bilingual co-training for a largescale, accurate acquisition method for monolingual semantic knowledge. In this framework, we combine ...
We propose an autonomous system for personalized production of basketball videos from multi-sensored data under limited display resolution. Especially, we propose criteria for opt...
This paper studies the problem of mobile robot mapbuilding using a low-accuracy RFID sensor. In recent years, there has been increasing number of mobile robot systems using RFID l...
We explore online technical support of open source software by a study of postings to discussion boards. Our results indicate that there are several types of detail that are requi...