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Convergys Confidential and Proprietary Copyright ©2007 Convergys Corporation Using Excessive Classes To Build a NLU-FAQ System Dhananjay Bansal Nancy Gardner.

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Presentation on theme: "Convergys Confidential and Proprietary Copyright ©2007 Convergys Corporation Using Excessive Classes To Build a NLU-FAQ System Dhananjay Bansal Nancy Gardner."— Presentation transcript:

1 Convergys Confidential and Proprietary Copyright ©2007 Convergys Corporation Using Excessive Classes To Build a NLU-FAQ System Dhananjay Bansal Nancy Gardner

2 Convergys Confidential and Proprietary Agenda Introduction Domain Analysis NLU – FAQ approach Results Conclusion

3 Convergys Confidential and Proprietary Introduction Reason for call can be numerous (can be more then 1000)  Especially true for main telephone numbers Menu driven systems are insufficient to meet customer needs Cumulative loss of containment could be significant. A significant portion of transferred calls are “informational”  More than 35% (domain dependent) How do we serve these callers ?

4 Convergys Confidential and Proprietary Domain Analysis Large number of major classes (> 500) with relatively fewer sub classes (< 6) for a major class Most HMIHY responses identify the major class Transcription data  Recordings of actual responses to HMIHY question in the application  Large number of transcription and annotation needed  Data sparseness issues Website a good source for information  Websites usually has more information then IVR  Significant cumulative information  Information can be used in IVR Goal: Be able to recognize most classes (> 500)

5 Convergys Confidential and Proprietary An Example Website Map

6 Convergys Confidential and Proprietary Example Leaf Webpage How to apply  Continue with application  Phone: (nnn) nnn-nnnn, Monday through Friday, 8:00am to 6:00pm ET  In person: find a Branch or Securities Office near you  By mail: o Complete and sign the Roth IRA Plan Application and read the Roth IRA Fact Book o Return completed forms, along with contributions, to: What you need to apply You will need the following pieces of information:  Your Social Security Number (if applicable)  Beneficiary's Social Security Number and Date of Birth  If you are rolling over an employer-sponsored plan, you will need your plan provider/administrator's name and contact information. What to expect when applying online  The application will take approximately 20 minutes to complete.  Within two business days after we receive your application, a Retirement Specialist will contact you to discuss your retirement needs.  After speaking with a Retirement Specialist, final account forms will be sent for you to sign and return.

7 Convergys Confidential and Proprietary Use NLU to identify Major Class  Follow up with Menu Driven systems to narrow down choices NLU-FAQ Design

8 Convergys Confidential and Proprietary NLU Grammar Development Each “Class” corresponds to a leaf (information) webpage Use contents in the website, links, web headers of a content page and the parent pointers to generate data  Web crawler, multiple parent paths Merge the actual call recording transcriptions Generalize the data to include variations, prefixes, suffixes. Improve with tuning

9 Convergys Confidential and Proprietary Content Development Disambiguation prompts for “Major” classes  Do you need A, B, or C, Or Say Customer Service.  FAQ Content for each Class. Classes and contents manually reviewed and developed.

10 Convergys Confidential and Proprietary Results Correct recognition accuracy of major classes Expected containment around 5%

11 Convergys Confidential and Proprietary Discussion How to effectively contain and serve low frequency, but numerous call reasons Data Generation: How to better formulate questions from answers Recognition/Classification Accuracy NLU-FAQ system is 1 of many ways The approach can be deployed across multiple verticals

12 Convergys Confidential and Proprietary Copyright ©2007 Convergys Corporation Using Excessive Classes To Build a NLU-FAQ System Dhananjay Bansal dhananjay.bansal@convergys.com Nancy Gardner nancy.gardner@convergys.com@convergys.com


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