PATENT CLAIM ANALYSIS

Application Number: 16235798
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["706", "015000"]

Abstract:
A computerized neural-network based mechanism for providing an intermediary configured for intervening in searches is described. Corresponding methods, computer-readable media, systems, devices, and apparatuses are also contemplated. The neural network can include a multi-headed attention layer. The intermediary may be, in some embodiments, a human “man in the middle” mechanism invoked where there is low confidence that pre-existing categories map to a user's search string. The mechanism provides a specially configured interface adapted to enable a search specialist to quickly select one or more categories that match or are otherwise associated with the search query from a set of acceptable categories. Received outputs and detected user behaviors are utilized to update a neural network model.

Claim (Index 5):
The system of  claim 1 , wherein maintaining the neural network includes a three-staged training process including at least:\n a first domain-independent, task-independent pre-training stage for adapting the neural network to language structure and word meanings; a second domain-dependent, task-independent pre-training adapted for refining the neural network with domain specific language; and a third understanding task stage adapted for processing sets of text, semantic class pairs of data wherein the semantic classes indicate which activated semantic classes are related to the text, and connection weights of the neural network are adjusted using back propagation.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 1.47727
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14283929', '13195846', '13110282', '15624329', '14491841']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3307844534159957
- 35 USC 102 Novelty (BERT): 0.4855670101588391
- Combined Prediction Score: 0.3462627090902801
- Mean Citation Score: 191.227542
- Max Citation Score: 194.25804
- Similarity Product: 145.2506454338121

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test