Kernel Methods for Word Sense Disambiguation and Acronym Expansion

  title={Kernel Methods for Word Sense Disambiguation and Acronym Expansion},
  author={Mahesh Joshi and Ted Pedersen and Richard Maclin and Serguei V. S. Pakhomov},
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Support Vector Machines (SVMs) provides an excellent mechanism to introduce prior knowledge into the SVM learners, such as by using unlabeled text or existing ontologies as additional knowledge sources. Our aim is to develop three kernels – one that makes use of knowledge derived from unlabeled text, the second using… CONTINUE READING

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