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Announcing
The Tangle
Jacques (a.k.a. Santiago) Basaldúa
SLSP 2021
In AI 90s - 2012
● 90s computer chess
● 2005-2012 computer go best
result: 4th
(tie) in "Fourth Slow
KGS Computer Go Tournament"
in 2011
● PhD in 2013 in MCTS
(Monte-Carlo Tree Search)
applied to go and human
genetics
My day job since 2013
● We solve NLP business problems
● We improve client experience with NLP
● We build on top of the "mainstream"
technology stack
● We use transformers
...
My AI research since 2013
● Building the Jazz platform https://github.com/kaalam/Jazz
● Work on automated code generation https://github.com/kaalam/JazzARC
● Formal Fields https://arxiv.org/abs/2007.14075
● The Tangle!
The Poster
https://raw.githubusercontent.com/kaalam/kaalam/master/the_tangle.pdf
The Motive
"Every time we fire a linguist, the
performance of our system goes up"
-- Frederick Jelinek
Meanwhile in our "production world"
● We optimize our metrics every day.
● We shamelessly use the phrase "super
human" based on the same metrics.
● Our models are perceived as "stupid".
● We ignore gigabytes of high quality data
created by "linguists" which it is written
in "natural language" ...
● .. while we claim to be solving "natural
language".
My wish:
Building LiL (Language in Language) or
"Building on the Shoulders of Linguists"
The Content
The Technology
Key Takeaways:
● We build it because we need it, it will be maintained and improve.
● It is starting now.
● It is not designed to be "easy to use" with the DL stack.
● It is designed to have insanely fast access to it inside the server.
● Keep posted!
Questions?

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Slsp 2021

  • 1. Announcing The Tangle Jacques (a.k.a. Santiago) Basaldúa SLSP 2021
  • 2. In AI 90s - 2012 ● 90s computer chess ● 2005-2012 computer go best result: 4th (tie) in "Fourth Slow KGS Computer Go Tournament" in 2011 ● PhD in 2013 in MCTS (Monte-Carlo Tree Search) applied to go and human genetics
  • 3. My day job since 2013 ● We solve NLP business problems ● We improve client experience with NLP ● We build on top of the "mainstream" technology stack ● We use transformers ...
  • 4. My AI research since 2013 ● Building the Jazz platform https://github.com/kaalam/Jazz ● Work on automated code generation https://github.com/kaalam/JazzARC ● Formal Fields https://arxiv.org/abs/2007.14075 ● The Tangle!
  • 6. The Motive "Every time we fire a linguist, the performance of our system goes up" -- Frederick Jelinek Meanwhile in our "production world" ● We optimize our metrics every day. ● We shamelessly use the phrase "super human" based on the same metrics. ● Our models are perceived as "stupid". ● We ignore gigabytes of high quality data created by "linguists" which it is written in "natural language" ... ● .. while we claim to be solving "natural language". My wish: Building LiL (Language in Language) or "Building on the Shoulders of Linguists"
  • 9. Key Takeaways: ● We build it because we need it, it will be maintained and improve. ● It is starting now. ● It is not designed to be "easy to use" with the DL stack. ● It is designed to have insanely fast access to it inside the server. ● Keep posted!