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Extraction of Research Novelty Statements in Life Sciences Publications

Student: Sofia Nikiforova

Supervisor: Irina Efimenko

Faculty: Faculty of Humanities

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2018

The goal was to create an algorithm that would analyze Life Sciences publications and automatically identify sentences that contain research novelty statements. At first, I have described different types of scientific novelty. Then, I have manually annotated enough texts to train and to test the algorithm. Finally, I have come up with textual features that distinguish between sentences that describe research novelty and sentences that do not. As a result, I have created an algorithm that achieves a reasonably high accuracy and is able not only to locate sentences that contain research novelty statements, but also to differentiate between these sentences according to the type of novelty they represent.

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