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Subject: [DCHAS-L] Chemical Safety important to you? Consider volunteering for one of the opening on the CSL Advisory Panel (the Pistoia Alliance/CAS Chemical Safety Library initiative)
Date: Monday, March 21, 2022 at 12:35:13 PM
Author: Carmen Nitsche <cnitsche**At_Symbol_Here**SWBELL.NET> 		Next by Date:
Subject: Re: [DCHAS-L] OSHA materials on Karen Wetterhahn's mercury exposure
Date: Mon, 21 Mar 2022 10:37:35 -0700
Author: Russell Vernon

From: Russell Vernon <russellnvernon**At_Symbol_Here**gmail.com>
Subject: [DCHAS-L] Progress report on using AI to read SDS
Date: Mon, 21 Mar 2022 10:25:03 -0700
Reply-To: ACS Division of Chemical Health and Safety <DCHAS-L**At_Symbol_Here**Princeton.EDU>
Message-ID: CAEv1zv141ExTGOwv5Ji_WT2kpqcV_FdVy+sYRkmpMX_zPGVWNA**At_Symbol_Here**mail.gmail.com


Dear Colleagues,
Several weeks ago I requested and participants of this list responded with scanned-in SDS for our AI team to use to read scanned versions of SDS.
I was also challenged to bring back to the group results of our efforts reading SDS...

Well, the team has achieved about 97% accuracy for the specific parts of the SDS they were testing, such as the boiling points, flash point, Hazard Statements, etc.

The machine learning model they started with is the NER (Name Entity Recognition) and they are moving on to testing the NLP ( Advanced Natural Learning Processing) then plan to try out the NLP and Supervised Learning Model afterward.

With the NER model, we have discovered enough differences between vendor SDS structures that we've had to train different vendor documents separately. We hope that will be less problematic with the other models.

In summary, it is working but not ready for prime time yet

Our plan is to still have a chemist review the data extraction to fix any errors as we add data to our chemical inventory library

Sincerely,
-Russ
--
Russell Vernon, Ph.D.
russellnvernon**At_Symbol_Here**gmail.com
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