We describe a system for extracting mentions of terms such as company and product names, in a large and noisy corpus of documents, such as the World Wide Web. Since natural langua...
Einat Amitay, Rani Nelken, Wayne Niblack, Ron Siva...
This paper presents work on document retrieval for Italian carried out at ITC-irst. Two different approaches to information retrieval were investigated, one based on the Okapi wei...
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
It has been observed that precision increases with collection size. One explanation could be that the redundancy of information increases, making it easier to find multiple docum...