It is well known that pragmatic knowledge is useful and necessary in many difficult language processing tasks, but because this knowledge is difficult to acquire and process autom...
Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language ...
Ilya Zaihrayeu, Lei Sun, Fausto Giunchiglia, Wei P...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
Although image understanding and natural language processing constitute two major areas of AI, they have mostly been studied independentlyof each other. Only a few attempts have b...
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...