Predicting Word Clipping with Latent Semantic Analysis
نویسندگان
چکیده
In this paper, we compare a resourcedriven approach with a task-specific classification model for a new near-synonym word choice sub-task, predicting whether a full or a clipped form of a word will be used (e.g. doctor or doc) in a given context. Our results indicate that the resourcedriven approach, the use of a formality lexicon, can provide competitive performance, with the parameters of the taskspecific model mirroring the parameters under which the lexicon was built.
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تاریخ انتشار 2011