Task 13: Web People Search
This task focuses on the disambiguation of person names in a Web
searching scenario. Finding people, information about people, in the
World Wide Web is one of the most common activities of Internet
users. Person names, however, are highly ambiguous. In most cases,
therefore, the results for this type of search are a mixture of pages
about different people that share the same name.
The participant's systems will receive as input, web pages retrieved from a
web search engine using a given person name as a query. The aim of the task
is to determine how many referents (different people) exist for that person
name, and assign to each referent its corresponding documents. The challenge
is to correctly estimate the number of referents and group documents
referring to the same individual.
Javier Artiles, NLP & IR Group (UNED)
Julio Gonzalo, NLP & IR Group (UNED)
Satoshi Sekine, Proteus Project (NYU)