PATENT CLAIM ANALYSIS

Application Number: 16283707
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-11
Patent Classification: ["704", "009000"]

Abstract:
Methods for determining whether two sets of words are similar are provided. In one aspect, a method includes receiving a first set of words and a second set of words, which are subsets of a vocabulary, and each of the first and second sets of words include word embeddings corresponding to each word. The method also includes determining a word membership function for each word in the vocabulary. Determining the word membership includes determining a set of similarity values, each representing the similarity between the word and a respective word in the vocabulary. The method also includes determining a membership function for the first and second sets of words based on the determined word membership functions, and determining a set-based coefficient for the similarity between the first and second sets of words based on the membership function. Systems and devices are also provided

Claim (Index 2):
The method of  claim 1  wherein determining a membership function for the first set of words and a membership function for the second set of words comprises, for each set of words, determining a fuzzy union between the word membership functions for the respective set of words.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 99.0
- Lexical Diversity: 2.88679
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10573152', '16144718', '11955903', '12963161', '15478363']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2840540624373918
- 35 USC 102 Novelty (BERT): 0.4952942341688273
- Combined Prediction Score: 0.3051780796105354
- Mean Citation Score: 190.350134
- Max Citation Score: 203.3306
- Similarity Product: 131.9759429550171

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