Rezultati pretraživanja
  1. New release integrates from with view "Entities" to unified view of persons, organizations & places from , & dictionaries, by & by human editors.

  2. Integration with & framework for now uses REST microservices so can run on additional and/or separated server(s) / user / docker container.

  3. 21. sij

    Why alongside & we use & in : "Although [ ] can cope with text in arbitrary domains, [..] problems recognizing all important entities in application domain"

  4. 13. ruj 2018.

    Advanced text understanding combining several state-of-the-art models & technologies in Hume - , , custom and

  5. 17. ožu 2016.

    French or Dutch-speaking & working on ? Looking for collaborators to clean up this corpus:

  6. 10. svi 2017.

    . ranked first in the CAP 2017 challenge! Congrats to the team!

  7. 4. stu 2016.

    Using different engines w/ is now easy thx to our new plugin API @Pelagiosproject

  8. 26. velj 2018.
  9. 9. srp 2019.

    the about for the at the starts now! the team around and is happy to welcome you!

  10. 9. tra 2018.
  11. 10. velj 2016.

    explained: How it works, where the difficulties lie and how we use it in Multisensor.

  12. 25. stu 2019.
  13. 23. stu 2018.

    We're launching a series of posts regarding the topic . Our data science expert Chi Nhan starts with a use case walking you through the different aspects of (), an important task of Information Extraction:

  14. 21. srp 2016.
  15. 18. srp 2019.

    This is a good moment to announce that and begin to develop LEMeng - a version of Literary Exploration Machine for texts in English. We started with beta providing NER statistics and relationships.

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  16. 24. srp 2019.

    In our latest blog hear about our recent TERMite Toolkit update, including updates to our Python Toolkit. We’re also excited to introduce our new R module. Read more:

  17. If you enable (f.e. in admin ) additional / plugins like additional engine or , new release will reindex/analyse again yet indexed files automatically on next file recrawl (f.e. on start of the desktop search VM)

  18. 1. svi 2018.

    Delighted to transition into the role of Scientific Product Manager for the fantastic team today. 😊 Looking forward to new processes, better products, and more satisfied customers.

  19. 5. ruj 2019.

    8/14 To automatically detect and distinguish between concepts, we can use . In a nutshell, this method goes through text to find and highlight relevant concepts. This can be done by using rules, or by using

    Drake meme: disapprove of rules based methods, approve of machine learning
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