Office Action Predictor
Last updated: April 15, 2026
Application No. 18/385,229

USING FEATURE AGGREGATION TO DETERMINE INTENT CLASSIFICATIONS FOR TEXT TRANSCRIPTS

Non-Final OA §102
Filed
Oct 30, 2023
Examiner
HOQUE, NAFIZ E
Art Unit
2693
Tech Center
2600 — Communications
Assignee
Verizon Patent And Licensing INC.
OA Round
1 (Non-Final)
75%
Grant Probability
Favorable
1-2
OA Rounds
3y 1m
To Grant
99%
With Interview

Examiner Intelligence

Grants 75% — above average
75%
Career Allow Rate
456 granted / 608 resolved
+13.0% vs TC avg
Strong +24% interview lift
Without
With
+24.3%
Interview Lift
resolved cases with interview
Typical timeline
3y 1m
Avg Prosecution
20 currently pending
Career history
628
Total Applications
across all art units

Statute-Specific Performance

§101
11.5%
-28.5% vs TC avg
§103
42.6%
+2.6% vs TC avg
§102
23.6%
-16.4% vs TC avg
§112
11.3%
-28.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 608 resolved cases

Office Action

§102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-5, 8-14, and 16-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Wohlwend et al. (US Pub 2020/0151253). Regarding claim 1, Wohlwend discloses a method comprising: accessing, by an intent classification engine, a text transcript (para 0028, 0031, 093); determining, by the intent classification engine, one or more features associated with the text transcript (para 0037, 0040, 0039), the determining the one or more features comprising: generating, based at least in part on the text transcript, a graph comprising a plurality of nodes interconnected by a plurality of edges (see para 0063-0064, 0070; fig. 8a); and using the graph to determine at least one of the one or more features associated with the text transcript (para 0074, 0090, 0093-0095 – the graph structure is used to determine which features (prototype vectors/intent) are relevant for comparison at each state and the message embedding features are selected/filtered based on the graph structure); generating, by the intent classification engine based on the one or more features, an aggregate embedding vector (para 0040-0042; 0052); and providing, by the intent classification engine, the aggregate embedding vector as an input to a trained model configured to output an intent classification (para 0043, 0047-0048, 0094, 0096; fig. 9). Regarding claim 2, Wohlwend discloses wherein the one or more features comprises one or more of a local intent classification (0063-0065, 0095, 0099), a sentence type, an emotion, an intent recency, an intent frequency, a sequence weight, a geo-location intent, a co-occurrence ranking, or a previous intent. Regarding claim 3, Wohlwend discloses wherein the determining the one or more features comprises: providing, by the intent classification engine, one or more portions of the text transcript as inputs to a second trained model configured to output one or more local intent classifications (para 0040 – word embedding 310 processes words, then message embedding component 320 process the results, 0042); wherein the one or more features comprises the one or more local intent classifications (0063-0065, 0095, 0099). Regarding claim 4, Wohlwend discloses wherein each of the one or more portions comprises one or more of a sentence or a phrase within the text transcript (para 0037, 0042). Regarding claim 5, Wohlwend discloses wherein the second trained model comprises a multi-layer neural network (para 0042, 0052). Regarding claim 8, Wohlwend discloses wherein the trained model comprises a multi-layer neural network (para 0042, 0052). Regarding claim 9, Wohlwend discloses wherein the text transcript is associated with a customer support interaction with an agent (para 0028, 0031, 0141). Regarding claim 10, Wohlwend discloses wherein the accessing the text transcript occurs in real-time while the text transcript is being generated (para 0093). Regarding claim 11, Wohlwend discloses wherein the accessing the text transcript occurs in real-time after a threshold number of sentences within the text transcript have been generated (para 0092). Regarding claims 12 and 18, see rejection of claim 1. Regarding claims 13 and 19, see rejection of claim 3. Regarding claims 14 and 20, see rejection of claim 4. Regarding claim 16, see rejection of claim 8. Regarding claim 17, see rejection of claim 11. Allowable Subject Matter Claims 6-7 and 15 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to NAFIZ E HOQUE whose telephone number is (571)270-1811. The examiner can normally be reached M-F 8-5. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ahmad Matar can be reached at (571)272-7488. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /NAFIZ E HOQUE/ Primary Examiner, Art Unit 2693
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Prosecution Timeline

Oct 30, 2023
Application Filed
Dec 13, 2025
Non-Final Rejection — §102
Mar 26, 2026
Applicant Interview (Telephonic)
Mar 27, 2026
Examiner Interview Summary
Mar 30, 2026
Response Filed

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
75%
Grant Probability
99%
With Interview (+24.3%)
3y 1m
Median Time to Grant
Low
PTA Risk
Based on 608 resolved cases by this examiner. Grant probability derived from career allow rate.

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