PATENT CLAIM ANALYSIS

Application Number: 16240958
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["704", "009000"]

Abstract:
A third-party company may assist companies in providing natural language interfaces for their customers. To implement a natural language interface for a company, a configuration may be received that includes information, such as a list intents, seed messages for the intents, and hierarchical information of the intents. An intent classifier may be trained using the configuration, and the natural language interface may be deployed for use with customers. Usage data of the natural language classifier may be collected and used to improve the natural language interface. Messages corresponding to an intent may be clustered into clusters of similar messages, and a prototype message may be obtained for each cluster to provide a human understandable description of the cluster. The information about the clusters may be used to improve the natural language interface, such as by creating a new intent with a cluster or moving a cluster to a different intent.

Claim (Index 14):
The method of  claim 10 , wherein obtaining the prototype message for a cluster of the plurality of clusters comprises selecting a message with a largest count or selecting a message closest to a center of the cluster.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.2027
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15894504', '15638543', '16110742', '16189536', '16218241']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2407635509927707
- 35 USC 102 Novelty (BERT): 0.5485581003168992
- Combined Prediction Score: 0.2715430059251836
- Mean Citation Score: 228.16880600000005
- Max Citation Score: 389.60196
- Similarity Product: 347.24176259283547

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

Dataset: test