Query logs of a Web search engine have been increasingly used as a vital source for data mining. This paper presents a study on largescale domain-independent entity extraction fro...
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
Abstract. Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and exam...
We report results for an independent, blind evaluation of the performance of 11 commercial search engines on 106 online service queries and on 54 topic relevance queries. We found...