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The present study proposes LitStoryTeller, an interactive system for visuallyexploring the semantic structure of a scientific article. We demonstrate howLitStoryTeller could be used to answer some of the most fundamental researchquestions, such as how a new method was built on top of existing methods, basedon what theoretical proof and experimental evidences. More importantly,LitStoryTeller can assist users to understand the full and interesting story ascientific paper, with a concise outline and important details. The proposedsystem borrows a metaphor from screen play, and visualizes the storyline of ascientific paper by arranging its characters (scientific concepts orterminologies) and scenes (paragraphs/sentences) into a progressive andinteractive storyline. Such storylines help to preserve the semantic structureand logical thinking process of a scientific paper. Semantic structures, suchas scientific concepts and comparative sentences, are extracted using existingnamed entity recognition APIs and supervised classifiers, from a scientificpaper automatically. Two supplementary views, ranked entity frequency view andentity co-occurrence network view, are provided to help users identify the"main plot" of such scientific storylines. When collective documents are ready,LitStoryTeller also provides a temporal entity evolution view and entitycommunity view for collection digestion.

LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences