33 Matching Annotations
  1. Jul 2024
    1. for - search - google - high resolution addressing of disaggregated text corpus mapped to graph - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph

      search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8

      to - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph - A New Method for Graph-Based Representation of Text in - The use of a new text representation method to predict book categories based on the analysis of its content resulted in accuracy, precision, recall and an F1- ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081 - Encoding Text Information with Graph Convolutional Networks - According to our understanding, this is the first personality recognition study to model the entire user text information corpus as a heterogeneous graph and ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081

  2. Dec 2022
    1. Three weeks ago, an experimental chat bot called ChatGPT made its case to be the industry’s next big disrupter. It can serve up information in clear, simple sentences, rather than just a list of internet links. It can explain concepts in ways people can easily understand. It can even generate ideas from scratch, including business strategies, Christmas gift suggestions, blog topics and vacation plans.

      ChatGPT's synthesis of information versus Google Search's list of links

      The key difference here, though, is that with a list of links, one can follow the links and evaluate the sources. With a ChatGPT response, there are no citations to the sources—just an amalgamation of statements that may or may not be true.

  3. Oct 2022
    1. https://www.explainpaper.com/

      Another in a growing line of research tools for processing and making sense of research literature including Research Rabbit, Connected Papers, Semantic Scholar, etc.

      Functionality includes the ability to highlight sections of research papers with natural language processing to explain what those sections mean. There's also a "chat" that allows you to ask questions about the paper which will attempt to return reasonable answers, which is an artificial intelligence sort of means of having an artificial "conversation with the text".

      cc: @dwhly @remikalir @jeremydean

  4. Aug 2022
    1. There's also a good chance the DNP encourages people to spend non-significant amounts of time journaling and writing notes they never look back on.

      While writing notes into a daily note page may be useful to give them a quick place to live, a note that isn't revisited is likely one that shouldn't have been made at all.

      Tools for thought need to do a better job of staging ideas for follow and additional work. Leaving notes orphaned on a daily notes page may help in the quick capture process, but one needs reminders about them, means of finding them, and potential means of improving them.

      If they're swept away continuously, then they only serve the sort of functionality of cleaning out of ideas that morning pages do. It's bad enough to have a massive scrap heap that looks and feels like work, but it's even worse to have it spread out among hundreds or thousands of separate files.

      Does digital search fix this issue entirely? Or does it just push off the work to later when it won't be done either.

  5. May 2022
    1. For the first time in history, we have instantaneous access to theworld’s knowledge.

      While we may have the impression of instant access to the world's knowledge, this is really far from the truth. It's all there, but being able to search through it for what we want or being able to find or generate insight from it involves a massive mountain of hidden work that no one really wants to do in practice.

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  6. Apr 2022
  7. Mar 2022
    1. Human minds are made of memories, and today those memories have competition. Biological memory capacities are being supplanted, or at least supplemented, by digital ones, as we rely on recording—phone cameras, digital video, speech-to-text—to capture information we’ll need in the future and then rely on those stored recordings to know what happened in the past. Search engines have taken over not only traditional reference materials but also the knowledge base that used to be encoded in our own brains. Google remembers, so we don’t have to. And when we don’t have to, we no longer can. Or can we? Remembering and Forgetting in the Age of Technology offers concise, nontechnical explanations of major principles of memory and attention—concepts that all teachers should know and that can inform how technology is used in their classes. Teachers will come away with a new appreciation of the importance of memory for learning, useful ideas for handling and discussing technology with their students, and an understanding of how memory is changing in our technology-saturated world.

      How much history is covered here?

      Will mnemotechniques be covered here? Spaced repetition? Note taking methods in the commonplace book or zettelkasten traditions?

    1. Improved search engines will help for devoted searchers, but promoting a new contribution in the marketplace of ideas still takes effort. Improved methods to reach the right audiences will begin with email and newsgroups, but should be extended by nov el group formation methods.

      Search and discovery are hard problems in an ever increasing informational overload riddled society.

  8. Jan 2022
  9. Mar 2021
  10. Oct 2020
  11. Sep 2020
    1. Leuker, C., Hertwig, R., Gumenik, K., Eggeling, L. M., Hechtlinger, S., Kozyreva, A., Samaan, L., & Fleischhut, N. (2020). Wie informiert sich die Bevölkerung in Deutschland rund um das Coronavirus? Umfrage zu vorherrschenden Themen und Gründen, dem Umgang mit Fehlinformationen, sowie der Risikowahrnehmung und dem Wissen der Bevölkerung rund um das Coronavirus (Version 5, p. 966670) [Application/pdf]. Max-Planck-Institut für Bildungsforschung. https://doi.org/10.17617/2.3247925

  12. Aug 2020
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  16. Aug 2016
    1. Page 6

      Borgman on the importance of scale in information retrieval. It's an interesting question for the humanities not only does large-scale introduce new methods for example just reading it also makes traditional methods more difficult EG challenges close reading. It is not enough to say (as color and others do) that they don't like distant reading. They also need to say how they propose doing the reading in a million book environment.

      data and information have always been both input and output of research. What is new is the scale of the data and information involved. Information management is notoriously subject to problems of scale [bibliography removed]. Retrieval methods designed for small databases declined rapidly ineffectiveness as collections grow in size. For example a typical searcher is willing to browse a set of matches consisting of one percent of a database of 1000 documents (10 documents), maybe willing to browse a 1% set of 10,000 documents (100), rarely is willing to browse 1% of 100,000 documents (1000), and almost never would browse 1% of 1 million or 10 million documents.

  17. Sep 2015
    1. Again, though, if maximum recall is required, it is impossible in ranked retrieval to know what is omitted by new queries, whereas Boolean queries allow the user to control and modify the search until a satisfactory result has been achieved and they therefore also seem better suited to iterative searches.