Report on IPC-related IT systems IPC Revision Working Group 40 Geneva November 16, 2018 Patrick Fiévet Head of IT Systems Section International Classifications and Standards Division

Agenda IPCWLM project / IPCRECLASS status IPCPUB / IPCCAT-neural cross lingual prototype

IPCWLM Project Status IPCWLMS implementation contract: Contract signed: June 2018 Clarification phase: July to October 2018 Planning revised at the end of the clarification period targets IPCWLMS first production use for Q4 2019

IPCWLMS Analysis phase completed New requirements identified: Multiple revisions warning file: to alert when the same symbol appears in several IPC revisions (For on-line and off-line reclassification) Reclassification symbols validity checking against all RCL of pending IPC reclassifications Analysis of DOCDB XML fields required by IPCWLMS Commercial offer and timelines for implementation

IPCWLMS Implementation phase IPCWLMS1 targeted end: Q1 2019 Infrastructure & remote access (including for WIPO delta) DOCDB XML excerpts processing WL creation and distribution algorithm

IPCWLMS Implementation phase IPCWLMS1 targeted end: Q1 2019 Simulation files (WL and automatic RL files) Testing of simulation files by volunteering Offices based on IPC 2019.01 (and August 2018 DOCDB XML full extract ?): Jan. 15 to Feb. 10, 2019 Report about simulation: CE 51 ~Feb. 15, 2019

IPCWLMS Implementation phase IPCWLMS2: targeted end Q4 2019 (IPC 2020.01 WL) Management of Intellectual Reclassification essentially based on IPCRECLASS functionality (~Jun. 2019) + Test by volunteering Offices? Management of Residual WLs, reclassification statistics, (~Aug. 2019) Freeze of IPC reclassification for the Transition from IPCRECLASS to IPCWLMS (~ SepT. 2019) Support services(~Oct. 2019)

IPCRECLASS Email-based submission of RL Stopped (as from July 1, 2018) WL for IPC 2019.01 to be produced by the EPO for the last time i.e. according to legacy distribution algorithm

IPCPUB- IPCCAT IPCCAT neural retrained with DOCDB XML 2018 : Coverage at Maingroup level: EN 99% FR 90% Precision at Maingroup level: EN 89% FR 83% Coverage at subgroup level: EN 99% FR 90% Precision at subgroup level: EN 82% FR 73%

IPCCAT-neural cross lingual prototype Just completed tests: comparison between: cross lingual IPCCAT EN taking FR documents as input Native FR IPCCAT taking the same FR documents as input Preliminary conclusion: Focus WIPO resources on only one instance of IPCCAT neural cross lingual, trained with EN collection + automatic translation based on WIPO translate More conclusions and detailed results will be disclosed at the opportunity of IPC CE 51

Incentive to R&D in text categorization: WIPO-Delta training collection Incentives for research and development institutes interested in automatic text categorization : WIPO DELTA 2018 EN and FR collections available upon request since April 2018 More than 40 R&D institutes requested WIPO Delta in the past 6 months

IT operations and support for IPC Questions? Thank you