PATENT CLAIM ANALYSIS

Application Number: 15958731
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
A chat bot is a system designed to engage in a conversation with users on various tasks, like resolving a complaint, especially over internet. The present disclosure computes a set of hidden intent of a user from by using a set of words and a domain ontology associated with the set of words. Initially, the input sentence is analyzed to identify a category associated with it. Further, the set of words are extracted from the categorized input sentence using sentence parsers. Further, the set of hidden intent of the user is utilized for computing a set of epistemic rules. Further, the set of epistemic rules are utilized to compute a set of hop states and a next sentence is generated based on the set of hop states.

Claim (Index 11):
One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors causes:\n receiving, by one or more hardware processors, an input sentence from a user, wherein the input sentence is a complex natural language sentence; analyzing, by the one or more hardware processors, the input sentence by utilizing a pre-trained sequence modelling based Recurrent Neural Network (RNN) to obtain a category associated with the input sentence; parsing, by the one or more hardware processors, the input sentence based on the category to obtain a set of words associated with the input sentence by utilizing a dependency parser, wherein the set of words are extracted based on dependencies among a noun and a verb associated with the input sentence; computing, by the one or more hardware processors, a set of hidden intent of the user by analyzing the set of words and a set of domain ontology associated with the set of words; computing, by the one or more hardware processors, a set of epistemic rules based on the set of hidden intent of the user and the set of words by utilizing a pre-trained Machine Learning (ML) technique; computing, by the one or more hardware processors, a set of hop states based on the set of epistemic rules and generating, by the one or more hardware processors, a next sentence based on the set of hop states.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 91.0
- Lexical Diversity: 2.13846
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15455591', '15649010', '15368380', '15841963', '15938586']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.217596236543084
- 35 USC 102 Novelty (BERT): 0.4608018898522497
- Combined Prediction Score: 0.2419168018740005
- Mean Citation Score: 151.55608
- Max Citation Score: 161.11264
- Similarity Product: 134.1894962850952

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