RP3: Deep Knowledge Extraction from Financial, Business, and Social Text (WP1)

This research project aims to transform unstructured textual content in multiple languages and formats into a structured form suitable for traditional analytic techniques in financial decision-making. The challenge is to extract semantically annotated facts in the form of relationships between concepts and entities mentioned in a stream of documents and social media. The task fits […]

03.11.2016 Read more