There is little understanding of how people describe software problems, but a variety of tools solicit, manage, and analyze these descriptions in order to streamline software deve...
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
Topic maps provide exciting opportunities not just to make information easier to find, but to increase the usability of software. In order to provide users with the information th...
It seems the time is ripe for the two to meet: NLP has grown out of prototypes and IR is having hard time trying to improve precision. Two examples of possible approaches are consi...
This paper describes a method for risk analysis based on the approach used in CRAMM, but instead of using discrete measures for threats and vulnerabilities and lookup tables to de...