Natural Language Processing (NLP) is being applied for several information extraction tasks in the biomedical domain. The unique nature of clinical information requires the need fo...
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Abstract. The need of the current Natural Language Processing applications to identify text segments that express the same meaning in different ways, evolved into the identificatio...