This presentation will review the strengths and weaknesses of using pre-trained word embeddings, and demonstrate how to incorporate more complex semantic representation schemes such as Semantic Role Labeling, AMR and SDP into your applications.

10. Unlocking
Unstructured
Data

11. Unlocking
Unstructured
Data
Automation and
Solution Scale

12. Unlocking
Unstructured
Data
Automation and
Solution Scale
Ambient
Computing

21. -
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22. -
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27. ‫וגנב‬ ‫שופטת‬ ‫ופיתה‬ ‫שניצל‬ ‫דין‬ ‫עורך‬ ‫נעצר‬
-Example Credit to Yoav Goldberg BIU NLP and AI2

28. Rob Speer
how-to-make-a-racist-ai-without-
really-trying.ipynb
From Agrawal et al.
Rob Speer
how-to-make-a-
racist-ai-without-
really-trying.ipynb

29. From Iyyer and collaborators.

30. Iyyer and collaborators broke the tree-structured
bidirectional LSTM sentiment classification model.

40. The tale of Mr. Morton gives a great intro to
Subject predicate structure. What ever the
predicate says he does.
Source https://people.eecs.berkeley.edu/~klein/cs294-7/SP07%20cs294%20lecture%2019%20--
%20compositional%20semantics%20(6pp).pdf and https://web.stanford.edu/~jurafsky/slp3/22.pdf

41. The tale of Mr. Morton gives a great intro to
Subject predicate structure. What ever the
predicate says he does.
Source https://people.eecs.berkeley.edu/~klein/cs294-7/SP07%20cs294%20lecture%2019%20--
%20compositional%20semantics%20(6pp).pdf and https://web.stanford.edu/~jurafsky/slp3/22.pdf

42. The tale of Mr. Morton gives a great intro to
Subject predicate structure. What ever the
predicate says he does.
Source https://people.eecs.berkeley.edu/~klein/cs294-7/SP07%20cs294%20lecture%2019%20--
%20compositional%20semantics%20(6pp).pdf and https://web.stanford.edu/~jurafsky/slp3/22.pdf

43. The tale of Mr. Morton gives a great intro to
Subject predicate structure. What ever the
predicate says he does.
Source https://people.eecs.berkeley.edu/~klein/cs294-7/SP07%20cs294%20lecture%2019%20--
%20compositional%20semantics%20(6pp).pdf and https://web.stanford.edu/~jurafsky/slp3/22.pdf

45. JAMR Parser

54. Prepare
Data
Register and
Manage Model
Train & Test
Model
Build
Image
…
Build model
(your favorite
IDE)
Deploy
Service
Monitor
Model
Prepare Experiment Deploy
Machine Learning on Azure

57. http://aka.ms/beyondembeddings
http://aka.ms/nlposs19