Paper: Exploring Deep Knowledge Resources In Biomedical Name Recognition

ACL ID W04-1219
Title Exploring Deep Knowledge Resources In Biomedical Name Recognition
Venue International Joint Workshop On Natural Language Processing In Biomedicine And Its Applications NLPBA BioNLP
Session
Year 2004
Authors

In this paper, we present a named entity recognition system in the biomedical domain. In order to deal with the special phenomena in the biomedical domain, various evidential features are proposed and integrated through a Hidden Markov Model (HMM). In addition, a Support Vector Machine (SVM) plus sigmoid is proposed to resolve the data sparseness problem in our system. Besides the widely used lexical-level features, such as word formation pattern, morphological pattern, out-domain POS and semantic trigger, we also explore the name alias phenomenon, the cascaded entity name phenomenon, the use of both a closed dictionary from the training corpus and an open dictionary from the database term list SwissProt and the alias list LocusLink, the abbreviation resolution and in- domain POS using the...