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[HTML][HTML] NCBI disease corpus: a resource for disease name recognition and concept normalization
Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …
only useful if efficient and reliable ways of accessing and analyzing that information are …
[PDF][PDF] Domain adaptation with structural correspondence learning
Discriminative learning methods are widely used in natural language processing. These
methods work best when their training and test data are drawn from the same distribution …
methods work best when their training and test data are drawn from the same distribution …
Applications of natural language processing in biodiversity science
Centuries of biological knowledge are contained in the massive body of scientific literature,
written for human‐readability but too big for any one person to consume. Large‐scale …
written for human‐readability but too big for any one person to consume. Large‐scale …
[PDF][PDF] The Stanford typed dependencies representation
This paper examines the Stanford typed dependencies representation, which was designed
to provide a straightforward description of grammatical relations for any user who could …
to provide a straightforward description of grammatical relations for any user who could …
Concept annotation in the CRAFT corpus
Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …
automated methods to identify concepts in biomedical text. Results This paper presents the …
Wide-coverage efficient statistical parsing with CCG and log-linear models
This article describes a number of log-linear parsing models for an automatically extracted
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …
Corpus annotation for mining biomedical events from literature
Abstract Background Advanced Text Mining (TM) such as semantic enrichment of papers,
event or relation extraction, and intelligent Question Answering have increasingly attracted …
event or relation extraction, and intelligent Question Answering have increasingly attracted …
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background Automated extraction of protein-protein interactions (PPI) is an important and
widely studied task in biomedical text mining. We propose a graph kernel based approach …
widely studied task in biomedical text mining. We propose a graph kernel based approach …
[PDF][PDF] Reranking and self-training for parser adaptation
Statistical parsers trained and tested on the Penn Wall Street Journal (WSJ) treebank have
shown vast improvements over the last 10 years. Much of this improvement, however, is …
shown vast improvements over the last 10 years. Much of this improvement, however, is …
Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations
Research on extracting biomedical relations has received growing attention recently, with
numerous biological and clinical applications including those in pharmacogenomics, clinical …
numerous biological and clinical applications including those in pharmacogenomics, clinical …