Phil 12.3.19

7:00 – 4:00 ASRC GOES

  • Dissertation – reworked the last paragraph of the Reflection and reflex section
  • Evolver – more documentation
  • Send this out to the HCC mailing list: The introvert’s academic “alternative networking” guide
  • Arpita’s proposal defense
    • Stanford: Open information extraction (open IE) refers to the extraction of relation tuples, typically binary relations, from plain text, such as (Mark Zuckerberg; founded; Facebook). The central difference from other information extraction is that the schema for these relations does not need to be specified in advance; typically the relation name is just the text linking two arguments. For example, Barack Obama was born in Hawaii would create a triple (Barack Obama; was born in; Hawaii), corresponding to the open domain relation was-born-in(Barack-Obama, Hawaii).
    • Open Information Extraction 5
    • UKG Open Information Extraction
    • Supervised Ensemble of Open IE
    • Datasets
      • AW-OIE
      • AW-OIE-C
      • WEB
      • NYT
      • PENN
    • Why the choice of 100 dimensins for your symentic embedding? How does it compare to other dimensions?
    • Contextual embedding for NLP?
    • Input-Output Hidden Markov Model (version on GitHub)

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