Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
This paper describes experiments to establish the performance of a named entity recognition system which builds categorized lists of names from manually annotated training data. N...
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
In this paper, we propose two indepentent solutions to resolve the problems of many different spelling variants and of lack of annotated corpus for training, which are two main di...