Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays crucial role by extracting meaningful chunks from clinical notes reports, which are then fed to downstream tasks like assertion status detection, resolution, relation extraction, de-identific...

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTThe Complicated Morality of Named InventionsBruno Ehrler*Bruno EhrlerCenter for Nanophotonics, AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands*[email protected]More by Bruno Ehrlerhttp://orcid.org/0000-0002-5307-3241, Eline M. HutterEline HutterDepartment Chemistry, Utrecht University, Princetonlaan 6, 3584 CB Utrecht, NetherlandsMore Hu...

This paper proposes a networked data mining method for relations discovery from large corpus. The key idea is representing the named entities pairs and their contexts as the network structure and detecting the communities from the network. Then each community relates to a relation the named entities pairs in the same community have the same relation. Finally, we labeled the relations. Our exper...

This paper presents the 2005 MIRACLE’s team approach to Cross-Language Geographical Retrieval (GeoCLEF). The main goal of the GeoCLEF participation of the MIRACLE team was to test the effect that geographical information retrieval techniques cause to information retrieval. The baseline approach is based on the development of named entity recognition and geospatial information retrieval tools an...