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Biomedical text mining

Known as: BioNLP 
Biomedical text mining (also known as BioNLP) refers to text mining applied to texts and literature of the biomedical and molecular biology domain… Expand
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Papers overview

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2019
2019
Sentence embeddings have become an essential part of today’s natural language processing (NLP) systems, especially together… Expand
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2015
2015
Most word embedding methods are proposed with general purpose which take a word as a basic unit and learn embeddings according to… Expand
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2014
2014
Several state-of-the-art event extraction systems employ models based on Support Vector Machines (SVMs) in a pipeline… Expand
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Highly Cited
2013
Highly Cited
2013
Vector-space word representations have been very successful in recent years at improving performance across a variety of NLP… Expand
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Highly Cited
2011
Highly Cited
2011
We describe the FAUST entry to the BioNLP 2011 shared task on biomolecular event extraction. The FAUST system explores several… Expand
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2009
2009
Text mining for biomedicine requires a significant amount of domain knowledge. Much of this information is contained in… Expand
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2007
2007
Text Mining in biology and biomedicine requires a large amount of domain-specific knowledge. Publicly accessible resources hold… Expand
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Highly Cited
2004
Highly Cited
2004
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language… Expand
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Highly Cited
2004
Highly Cited
2004
We describe a machine learning system for the recognition of names in biomedical texts. The system makes extensive use of local… Expand
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