Style Breach Detection with Neural Sentence Embeddings
نویسندگان
چکیده
The paper investigates method for the style breach detection task. We developed a method based on mapping sentences into high dimensional vector space. Each sentence vector depends on the previous and next sentence vectors. As main architecture for this mapping we use the pre-trained encoder-decoder model. Then we use these vectors for constructing an author style function and detecting outliers. Method was tested on the PAN-2017 collection for the style breach detection task.
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