Support verb constructions (SVC), are verb-noun complexes which play a role in many natural language processing (NLP) tasks, such as Machine Translation (MT). They can be paraphrased with a full verb, preserving its meaning, improving at the same time the MT raw output. In this paper, we discuss the creation of linguistic resources namely a set of dictionaries and rules that can identify and pa...

Detecting memory-safety violations in binaries is complicated by the lack of knowledge of the intended data layout, i.e., the locations and sizes of objects. We present lightweight, static, heuristic analyses for recovering the intended layout of data in a stripped binary. Comparison against DWARF debugging information shows high precision and recall rates for inferring source-level object boun...

Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable selfsupervised information extraction. While previous efforts at extraction from Wikipedia achieve high precision and recall on well-populated classes of articles, they fail in a larger number of cases, largely because inco...

In computer vision, human parsing is challenging due to its demand for accurate region location and semantic partitioning. This dense prediction task needs powerful computation high-precision models. To enable real-time on resource-limited devices, the authors introduced a lightweight model using ResNet18 as core network . The simplified pyramid module, improving context clarity reducing comple...

High precision localization technology is the basis of fine-grained Location-based Service (LBS), such as interactive games, etc. A novel location system named Dragon is proposed, which provides target location in centimeter-level precision with 10Hz refreshing rate. Dragon uses a Fake-spot filtration algorithm to deal with the NLOS measurements and uses Extended Kalman Filtering (EKF) to handl...