PATENT CLAIM ANALYSIS

Application Number: 16113670
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-05
Patent Classification: ["707", "722000"]

Abstract:
Computer-implemented methods for retrieving content in response to receiving a natural language query are provided. In one aspect, a method includes receiving a natural language query submitted by a user using a user interface, generating an embedded sentence from said query, determining a similarity between the embedded sentence derived from the received natural language query and embedded sentences from queries saved in a database comprising a fixed mapping of responses to saved queries expressed as the embedded sentences, retrieving a response for an embedded sentence determined to be similar to one of the saved queries, and providing the response to the user via the user interface. Systems are also provided.

Claim (Index 14):
A system for retrieving content in response to receiving a natural language query, the system comprising:\n a user interface adapted to receive a natural language query from a user; a database comprising a fixed mapping of responses to saved queries, wherein the saved queries are expressed as embedded sentences; and a processor, said processor being adapted to:\n generate an embedded sentence from said query; \n determine a similarity between the embedded sentence derived from the received natural language query and embedded sentences from queries saved in the database; and \n retrieve a response for an embedded sentence determined to be similar to one of the saved queries, \n the user interface being adapted to output the response to the user.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 96.0
- Lexical Diversity: 2.03448
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15439416', '15959833', '15694031', '15408526', '15817161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1893082945788268
- 35 USC 102 Novelty (BERT): 0.4694554952983741
- Combined Prediction Score: 0.2173230146507815
- Mean Citation Score: 158.25835800000004
- Max Citation Score: 163.86978
- Similarity Product: 118.85856301730274

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

Dataset: test