Rezultati pretraživanja
  1. 12. lis 2018.

    Finally a way to include time in entity ! Work by – mjesto: Merrill Hall -Asilomar

  2. 8. stu 2017.

    Ugo Tanielian from is talking about Siamese Cookie for Cross-Device User Matching

  3. 13. kol 2017.

    Great use case on matching candidates to jobs using on w/ at

  4. 6. lip 2017.

    Diego Collarana presents MateTee: similarity with for KG

  5. 13. sij 2019.

    Ridiculously impressed by FastText, not only is it simple, elegant and computationally efficient. It solves one of the hardest problems in Germanic languages for free, those dreaded compound words.

  6. 31. svi 2017.

    A very natural idea for via a combination of entity and word presented at by Jose G. Moreno et al.

  7. 26. srp 2019.

    Fankhauser&Kupietz on domain-specific word . Allows comparing productivity, typicality, ambiguity and meaning differences in any word as it is used in different genres.

  8. 17. pro 2019.

    Our Labs blog just launched with code on for search. No director of marketing was harmed in producing our .

  9. 23. sij

    Excited to announce that our Multi Distance (MDE) paper got accepted at the European Conference on . MDE produces the state of the art results in benchmark of the of relation pattern learning.

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  10. 16. pro 2019.
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  11. Shout out to and for their time and effort at . Today's session was awesome .The way , the concept of in was explained was superb. Thank you very much. Looking forward to other sessions.

  12. 17. ruj 2018.

    We are very pleased to announce that our group got one paper accepted for presentation at the ! More details at

  13. 10. ruj 2019.

    in ! From words to worlds: First Workshop of DGfS-Computational Linguistics Fall School with Eva Maria Vecchi.

  14. 3. kol 2019.

    Here is a visualization of a word embedding learned from the BBC News Archive. As always, it was a pleasure learning from !

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  15. 27. lis 2019.

    Talk by on LiteralE - a knowledge graph embedding approach which makes use of both structural and numerical information in a knowledge graph. Full paper at and source code at .

  16. 15. velj 2018.

    When your t-SNE plot thinks it's still valentine...

  17. 29. lis 2019.

    Wikidata for boosting disambiguation in a table

  18. Second part of the Entity Search journey! Let's see how to represent Entities in a numerical form and proceed with clustering:

  19. 18. stu 2015.

    Survey of recent work on for by Hinrich Schutze @DISI_UNITN

  20. 30. lip 2019.

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