In this work, we explore the use of SVMs and CRFs in the problem of predicting certainty in sentences. We consider this as a task of tagging uncertainty cues in context, for which we used lexical, wordlist-based and deep-syntactic features. Results show that the syntactic context of the tokens in conjunction with the wordlist-based features turned out to be useful in predicting uncertainty cues.