PATENT CLAIM ANALYSIS

Application Number: 15910197
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["707", "769000"]

Abstract:
Embodiments relate to generating a retrieval condition for retrieving a target character string from texts by pattern matching. An aspect includes dividing a first text into words. Another aspect includes generating a converted character string by performing at least one of appending at least one character in at least either one of previous and subsequent positions of the target character string. Another aspect includes replacing at least one character of the target character string. Another aspect includes generating the retrieval condition for retrieval candidates in the words of the first text, the retrieval condition comprising determining that a retrieval candidate matches the target character string and does not match the converted character string based on a ratio of a part of the retrieval candidate which matches the converted character string and corresponds to the target character string is less than or equal to a reference frequency.

Claim (Index 2):
The system of  claim 1 , wherein the system further comprises a memory and a processor, wherein the processor is configured to perform the operations of the computer system, and wherein the processor is further configured to perform the operations comprising:\n retrieving the target character string based on the retrieval condition, wherein the retrieval condition improves extraction accuracy of the target character string by determining that a retrieval candidate is an exclusion candidate based on the retrieval candidate being appended to the converted character string, and the retrieval candidate matching the target character string and not matching the converted character string; determining whether a second text has an attribute that depends from the target character string by using logistic regression to identify a frequency at which the converted character string matches the second text as an explanatory variable, wherein the explanatory variable is part of the first text, and wherein the retrieval condition of matching the target character string and not matching the converted character string is generated based on the explanatory variable having a positive correlation with the converted character string that has the attribute; and determining whether a third text has an attribute that depends from the target character string by using logistic regression to identify a frequency at which the converted character string matches the third text as the explanatory variable, wherein the retrieval condition of matching the target character string and not matching the converted character string is generated based on the explanatory variable having a negative correlation with the converted character string that has the attribute.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.33846
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15715301', '15346946', '14629589', '15715330', '10724213']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2370114750974962
- 35 USC 102 Novelty (BERT): 0.5220598539889459
- Combined Prediction Score: 0.2655163129866412
- Mean Citation Score: 316.505892
- Max Citation Score: 353.35492
- Similarity Product: 277.70841231567385

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

Dataset: test