This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak et al. (2014), we constructed the graphs corresponding to the semantic networks by merging across languages the categories manually assigned by the users. This results in a network of related concepts for each entity of Wikipedia. We used these networks as a component of an entity linking system. the networks showed they could improve the results by 1% over an already strong baseline
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Wikipedia is a popular web-based encyclopedia edited freely and collaboratively by its users. In thi...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
AbstractA knowledge base for real-world language processing applications should consist of a large b...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
In this paper we present an automatic multilingual annotation of the Wikipedia dumps in two language...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
In this paper we present an approach for building a Wikipedia-based semantic network by integrating ...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
The hyperlink structure of Wikipedia constitutes a key resource for many Natural Language Processing...
Natural Language Processing systems crucially depend on the availability of lexical and conceptual k...
In this paper we present BabelNet - a very large, wide-coverage multilingual semantic network. The r...
We describe the automatic construction of a semantic net-work1, in which over 3000 of the most frequ...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Wikipedia is a popular web-based encyclopedia edited freely and collaboratively by its users. In thi...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
AbstractA knowledge base for real-world language processing applications should consist of a large b...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
In this paper we present an automatic multilingual annotation of the Wikipedia dumps in two language...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
In this paper we present an approach for building a Wikipedia-based semantic network by integrating ...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
The hyperlink structure of Wikipedia constitutes a key resource for many Natural Language Processing...
Natural Language Processing systems crucially depend on the availability of lexical and conceptual k...
In this paper we present BabelNet - a very large, wide-coverage multilingual semantic network. The r...
We describe the automatic construction of a semantic net-work1, in which over 3000 of the most frequ...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Wikipedia is a popular web-based encyclopedia edited freely and collaboratively by its users. In thi...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...