16. A system for generating a model for predicting whether a content word is being used figuratively, comprising: a processing system; and a memory; wherein the processing system is configured to execute steps comprising: accessing a plurality of training texts, each training text including content words, and each content word having a corresponding annotation indicating whether the content word is being used figuratively in the associated training text; accessing a plurality of topic models generated from a first corpus; for each content word in the plurality of training texts, assigning a plurality of topic-model feature scores to the content word, each topic-model feature score being associated with one of the plurality of topic models and determined based on: determining a first probability of the content word being used in a topic represented by the topic model; determining a second probability of the content word being used in a second corpus; and computing the topic-model feature score using the first probability and the second probability; and generating a prediction model for predicting whether a content word is being used figuratively, the generating being based on at least one of the plurality of topic-model feature scores and the annotations.
16. A system for generating a model for predicting whether a content word is being used figuratively, comprising: a processing system; and a memory; wherein the processing system is configured to execute steps comprising: accessing a plurality of training texts, each training text including content words, and each content word having a corresponding annotation indicating whether the content word is being used figuratively in the associated training text; accessing a plurality of topic models generated from a first corpus; for each content word in the plurality of training texts, assigning a plurality of topic-model feature scores to the content word, each topic-model feature score being associated with one of the plurality of topic models and determined based on: determining a first probability of the content word being used in a topic represented by the topic model; determining a second probability of the content word being used in a second corpus; and computing the topic-model feature score using the first probability and the second probability; and generating a prediction model for predicting whether a content word is being used figuratively, the generating being based on at least one of the plurality of topic-model feature scores and the annotations. 21. The system of claim 16 , wherein the processing system is configured to execute steps comprising: for each content word in the plurality of training texts, determining a concreteness feature score based on a predetermined concreteness rating assigned to the content word; wherein the generating of the prediction model is further based on the concreteness feature scores.