Combining Knowledge Sources For Automatic Semantic Tagging
نویسندگان
چکیده
In this working session, we will discuss methods which could plausibly be used for combining evidence for assigning semantic tags to words in a text. We will discuss methods that apply at knowledge acquisition time to produce a single static knowledge source to be used by a single, complete, semantic tagger, as well as methods for dynamically combining outputs of a set of independent, possibly incomplete, semantic taggers. A variety of evidence-combination and parallel-hypothesis-selection mechanisms will be considered for the dynamic case, including Dempster-Shafer and Bayesian approaches, best-evidence, and chart management methods. For the static case (at knowledge acquisition time), we will consider the dif~culties of merging unrelated knowledge sources.
منابع مشابه
Combining Independent Knowledge Sources for Word Sense Disambiguation
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