Relationship discovery is the task of identifying salient relationships between named entities in text. We propose novel approaches for two sub-tasks of the problem: identifying t...
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...