| 摘要 |
Systems and methods for determining semantically related terms are disclosed. Generally, a semantically related term tool trains a model to predict a degree of relevance between a candidate term and one or more seed terms. The model may be trained based on data such as a plurality of seed sets, a plurality of semantically related term sets, and a plurality of modular optimized dynamic sets ("MODS"), where each semantically related term set is related to a seed set of the plurality of seed sets and each MODS is related to a seed set of the plurality of seed sets. The semantically related term tool then determines a plurality of terms that are semantically related to one or more terms in a new seed set based on the model, the one or more terms in the seed set, and a plurality of candidate terms.
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