We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
— We consider the problem of finding the relevant named entities in response to a search query over a given text corpus. Entity search can readily be used to augment conventiona...
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
As opposed to representing a document as a "bag of words" in most information retrieval applications, we propose a model of representing a web page as sets of named enti...
Nan Di, Conglei Yao, Mengcheng Duan, Jonathan J. H...