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|Title:||Highly Multilingual Coreference Resolution Exploiting a Mature Entity Repository|
|Authors:||STEINBERGER JOSEF; BELYAEVA Jenya; CRAWLEY JONATHAN; DELLA ROCCA Leonida; EBRAHIM MOHAMED; EHRMANN MAUD; KABADJOV MIJAIL; STEINBERGER Ralf; VAN DER GOOT Erik|
|Citation:||Proceedings of Recent Advances in Natural Language Processing p. 254-260|
|Type:||Articles in periodicals and books|
|Abstract:||In this paper we present an approach to large-scale coreference resolution for an ample set of human languages, with a particular emphasis on time performance and precision. One of the distinctive features of our approach is the use of a mature multilingual named entity repository (persons and organizations) gradually compiled over the past few years. Our experiments show promising results – an overall precision of 94% tested on seven different languages. We also present an extrinsic evaluation on seven languages in the context of summarization where we gauge the contribution of the coreference resolver towards the end summarization performance.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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