Mining semantically related terms from biomedical literature

@article{Nenadic2006MiningSR,
  title={Mining semantically related terms from biomedical literature},
  author={Goran Nenadic and Sophia Ananiadou},
  journal={ACM Trans. Asian Lang. Inf. Process.},
  year={2006},
  volume={5},
  pages={22-43}
}
Discovering links and relationships is one of the main challenges in biomedical research, as scientists are interested in uncovering entities that have similar functions, take part in the same processes, or are coregulated. This article discusses the extraction of such semantically related entities (represented by domain terms) from biomedical literature. The method combines various text-based aspects, such as lexical, syntactic, and contextual similarities between terms. Lexical similarities… CONTINUE READING
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