PATENT CLAIM ANALYSIS

Application Number: 15937629
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "009000"]

Abstract:
A method and device for extracting causal from natural language sentences is disclosed. The method includes determining, by a computing device, a plurality of parameters for each target word in a sentence inputted by a user. The method further includes processing for each target word, by the computing device, an input vector comprising the plurality of parameters for a causal classifier neural network. The method includes identifying, by the computing device, causal tags associated with each target word in the sentence based on processing of associated input vector. The method includes extracting, by the computing device, the causal text from the sentence based on the causal tags associated with each target word in the sentence. The method further includes providing, by the computing device, a response to the sentence inputted by the user based on the causal text extracted for the sentence.

Claim (Index 6):
The method of  claim 1 , wherein the sentence is inputted by the user as at least one of a verbal input and a textual input.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 3.03846
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15916636', '15372020', '15118703', '15399046', '13150898']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2945629983385677
- 35 USC 102 Novelty (BERT): 0.5041640871438015
- Combined Prediction Score: 0.315523107219091
- Mean Citation Score: 219.176774
- Max Citation Score: 251.48978
- Similarity Product: 168.33499109345675

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