In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
Automatic generation of formal specifications from requirement reduces cost and complexity of formal models creation. Thus, the generated formal model brings the possibility to ca...
We introduce an approach to the automatic acquisition of new concepts fi'om natural language texts which is tightly integrated with the underlying text understanding process....