Coreference Driven Link Analysis Through Visualization

Tuesday, April 18, 2000 - 9:45am - 10:10am
Keller 3-180
Breck Baldwin (Baldwin Language Technologies)
Human languages use coreference as a fundamental means of referring to a given person, place, concept or other entity across sentences and documents. For example, `John Smith' might be referred to in another sentence as `he' or `the CEO of GM,' or in another document with `John Smith Jr.' We have developed software which annotates text for this 'coreference' relation and will discuss a visualization technique based on node and link representations over a coreference annotated corpus. A major advantage of this approach is that users can meaningfully sift through large data collections using visual features of the representations in addition to more traditional text driven interfaces. I will present techniques for rapidly finding rare relationships or very common ones, new information detection about entities and focused speculative searching techniques.