Entity disambiguation, or mapping a phrase to its canonical representation in a knowledge base, is a fundamental step in many natural language processing applications. Existing techniques based on global ranking models fail to capture the individual peculiarities of the words and hence, either struggle to meet the accuracy requirements of many real-world applications or they are too complex to ...

Anatomical entities such as kidney, muscle and blood are central to much of biomedical scientific discourse, and the detection of mentions of anatomical entities is thus necessary for the automatic analysis of the structure of domain texts. Although a number of resources and methods addressing aspects of the task have been introduced, there have so far been no annotated corpora for training and...