The first part is the plain text paragraph (with keyphrases type-faced for better readability), followed by the paragraph annotations visualised with brat, followed by stand-off keyphrase annotations based on character offsets and by relation annotations.
Input: excerpt from a scientific publication
Information extraction is the process of extracting structured data from unstructured text, which is relevant for several end-to-end tasks, including question answering. This paper addresses the tasks of named entity recognition (NER), a subtask of information extraction, using conditional random fields (CRF). Our method is evaluated on the ConLL-2003 NER corpus.
Annotated paragraph visualised with brat
Subtask (A): Identification of keyphrases
Subtask (B): Classification of identified keyphrases
Subtask (C): Extraction of relationship between two identified keyphrases