What’s of interest? Ai2 PaperFinder
Tell me more!
Research tool for paper discovery, with broad and deep coverage via a corpus of 8M+ full text papers and 108M+ abstracts.
We believe that AI-based literature search should follow the research and thought process that a human researcher would use when looking for relevant papers in their field. Ai2 Paper Finder is built on this philosophy, and it excels at locating papers that are hard to find using existing search tools.
Consider your own research process and how you search for papers. For example, imagine you’re looking for papers that introduce a dataset of an unscripted dialogue between 2 speakers (written or transcription) in English where there is an annotation of some property (emotion, age, gender, etc.) of one of the speakers.
We built this thinking process right into Ai2 Paper Finder. When you enter a query, you can watch as the system breaks down your query into relevant components, searches for papers, follows citations, evaluates for relevance, runs follow-up queries based on the results, and then presents not only the papers, but also short summaries of why the paper is relevant to your specific query.
Where is it?: https://paperfinder.allen.ai/
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Ai2 Paper Finder looks like a fantastic tool for researchers. 
Its AI-driven approach—breaking down queries, following citations, and summarizing relevance—makes discovering hard-to-find papers much easier. Exciting to see innovations like this improving the research process! 