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This paper presents an automatic Facet Generation Framework (AFGF) for an efficient document retrieval. Facet generation is the task of automatically discovering facets of documents from text descriptions. In this paper, we propose a new approach which is both unsupervised and domain independent to extract the facets. We also discover an efficiency improving semantically related feature sets with the help of Wordnet, Which carves out a structure that reflects the contents of the target information collection. Empirical experiments on different text of data show that our approach can effectively generate multi-faceted arbitrary topics, and are comparable with those generated by traditional approaches like Baseline, Greedy and Feedback Language models.