Journal article
LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences
07 Aug 2017
Abstract
The present study proposes LitStoryTeller, an interactive system for visually
exploring the semantic structure of a scientific article. We demonstrate how
LitStoryTeller could be used to answer some of the most fundamental research
questions, such as how a new method was built on top of existing methods, based
on what theoretical proof and experimental evidences. More importantly,
LitStoryTeller can assist users to understand the full and interesting story a
scientific paper, with a concise outline and important details. The proposed
system borrows a metaphor from screen play, and visualizes the storyline of a
scientific paper by arranging its characters (scientific concepts or
terminologies) and scenes (paragraphs/sentences) into a progressive and
interactive storyline. Such storylines help to preserve the semantic structure
and logical thinking process of a scientific paper. Semantic structures, such
as scientific concepts and comparative sentences, are extracted using existing
named entity recognition APIs and supervised classifiers, from a scientific
paper automatically. Two supplementary views, ranked entity frequency view and
entity 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 entity
community view for collection digestion.
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Details
- Title
- LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences
- Creators
- Qing PingChaomei Chen
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170470404721