Summary provides a short version of a research work whereas an ultrasummary can give it to you in 20 words - Easier said than done, right!. The researchers at Allen Institute for AI & University of Washington just did that to help all fellow researchers. Read about it here in short!
What do you prefer to read: a two-line summary or a ten-page article?
Researchers spend countless hours scanning multiple original articles to select the relevant ones to help with their research. The literature review is the most crucial yet the most time-consuming activity in research.
The Artificial Intelligence system experts of Allen Institute for AI and Paul G. Allen School of Computer Science & Engineering, University of Washington have developed a methodology and algorithm to compress all the research information in just a few words. In their preprint titled TLDR: Extreme Summarization of Scientific Documents, they discuss a “new form of extreme summarization” and introduce SCITDLR with a database of 5411 TLDRs for computer science research articles.
It is quirky yet befitting that TLDR - an acronym for “too long; didn’t read” – represents both the problem and solution.
TLDRs focus on key points (like the ‘what’ and the ‘output’) rather than technical informational and theoretical background.
This extreme summarization will help the researcher decide the right paper, thus saving time for a more focused search.
To create an ultra-short summary of complex information requires both domain and technical knowledge, thus considering both author’s and reviewer’s short summaries (15-20 words) as datasets to develop TLDRs.
Author-written summaries were collated from open review sources. Domain experts reconstructed the reviewer’s comments following a unique set of categorizations. The article title acted as an auxiliary signal for better decision-while considering variability in hand-written summaries.
This novel approach produces “high-quality summaries while minimizing annotation burden.” The team refers to this strategy as ‘Controlled Abstraction for TLDRs with Title Scaffolding’ or CATTS.
Author's take on Research Dose
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