In this paper we discuss five different corpora annotated forprotein names. We present several within- and cross-dataset proteintagging experiments showing that ...
Abstract. In this paper we discuss five different corpora annotated for protein names. We present several within- and cross-dataset protein tagging.
Abstract. In this paper we discuss five different corpora annotated for protein names. We present several within- and cross-dataset protein tagging.
We present several within- and cross-dataset proteintagging experiments showing that different annotation schemes severelyaffect the portability of statistical ...
The Impact of Annotation on the Performance of Protein Tagging in Biomedical Text. Alex, B., Nissim, M., & Grover, C. In LREC, pages 595–600, 2006. bibtex
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biomedical resources. Next, we compare Yapex performance with G#protein molecule trained with 1600 abstracts (cf. Table 5 and Table 9), though tagging ...
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The Impact of Annotation on the Performance of Protein Tagging in Biomedical Text. Beatrice Alex | Malvina Nissim | Claire Grover |. Paper Details: Month: May
The fundamental task of identifying gene and protein names is a necessary first step towards making full use of the information encoded in biomedical text. This ...
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Sep 3, 2013 · There was no statistically significant difference in annotator performance or IAA between using a manually or automatically collected dictionary ...
NLM-Gene corpus can further improve accuracy of gene recognition algorithms. Abstract. The automatic recognition of gene names and their corresponding database ...