Patent Document ID: 9852379
Application ID: 14640955

Base Claim:
1. A computer-implemented method of generating a model for predicting whether a content word is being used figuratively, comprising: accessing, with a processing system, 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, with the processing system, a plurality of topic models generated from a first corpus; for each content word in the plurality of training texts, assigning, with the processing system, 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, with the processing system, a first probability of the content word being used in a topic represented by the topic model; determining, with the processing system, a second probability of the content word being used in a second corpus; and computing, with the processing system, the topic-model feature score using the first probability and the second probability; and generating, with the processing system, 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.

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Claim 2:
2. The method of claim 1 , comprising: accessing, with the processing system, a text to be evaluated; identifying, with the processing system, content words in the text; for each of the identified content words in the text, predicting, with the processing system, whether the content word is being used figuratively in the text by using the prediction model; and generating, with the processing system, an evaluation score for the text based on the predictions.