Entity Retrieval (ER)-in comparison to classical search-aims at finding individual entities instead of relevant documents. Finding a list of entities requires therefore techniques different to classical search engines. In this paper, we present a model to describe entities more formally and how an ER system can be build on top of it. We compare different approaches designed for finding entities in Wikipedia and report on results using standard test collections. An analysis of entity-centric queries reveals different aspects and problems related to ER and shows limitations of current systems performing ER with Wikipedia. It also indicates which approaches are suitable for which kinds of queries
to appearThe traditional entity extraction problem lies in the ability of extracting named entities ...
Users often want to find entities instead of just documents, i.e., finding documents entirely about ...
Wikipedia is a useful source of knowledge that has many applications in language processing and know...
Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is n...
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities a...
In this paper we investigate how the category structure of Wikipedia can be exploited for Entity Ran...
The traditional entity extraction problem, lies in the ability of extracting named entities from pla...
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities ...
AbstractThe Web has not only grown in size, but also changed its character, due to collaborative con...
This thesis presents a system to retrieve entities specified by a question or description given in n...
The Web has not only grown in size, but also changed its character, due to collaborative content cre...
The immense scale of the Web has rendered itself as a huge repository storing information about vari...
Entity Ranking is a recently emerging search task in Information Retrieval. In Entity Ranking the go...
We discuss the problem of ranking very many entities of different types. In particular we deal with ...
We discuss the problem of ranking very many entities of different types. In particular we deal with ...
to appearThe traditional entity extraction problem lies in the ability of extracting named entities ...
Users often want to find entities instead of just documents, i.e., finding documents entirely about ...
Wikipedia is a useful source of knowledge that has many applications in language processing and know...
Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is n...
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities a...
In this paper we investigate how the category structure of Wikipedia can be exploited for Entity Ran...
The traditional entity extraction problem, lies in the ability of extracting named entities from pla...
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities ...
AbstractThe Web has not only grown in size, but also changed its character, due to collaborative con...
This thesis presents a system to retrieve entities specified by a question or description given in n...
The Web has not only grown in size, but also changed its character, due to collaborative content cre...
The immense scale of the Web has rendered itself as a huge repository storing information about vari...
Entity Ranking is a recently emerging search task in Information Retrieval. In Entity Ranking the go...
We discuss the problem of ranking very many entities of different types. In particular we deal with ...
We discuss the problem of ranking very many entities of different types. In particular we deal with ...
to appearThe traditional entity extraction problem lies in the ability of extracting named entities ...
Users often want to find entities instead of just documents, i.e., finding documents entirely about ...
Wikipedia is a useful source of knowledge that has many applications in language processing and know...