PATENT CLAIM ANALYSIS

Application Number: 15912631
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["707", "700000"]

Abstract:
A processor-implemented method generates a plurality of smoothed transition vectors from a plurality of training data. The method receives a plurality of text and a query. The method converts the plurality of received text to a word embedding space. The method converts the received query to a set of coordinates from the word embedding space and a set of the plurality of determined smoothed transition vectors. The method determines a plurality of candidate answers based on adding the set of the smoothed transition vectors to the set of coordinates in the word embedding space. The method determines an answer to the received query, based on applying a filter, wherein the filter is selected from a group consisting of a type filtering, a conflicting type filtering, and an equivalence filtering, and the method displays the determined answer.

Claim (Index 1):
A processor-implemented method for word embedding relationship extraction, the method comprising:\n generating a plurality of smoothed transition vectors from a plurality of training data; receiving a plurality of text and a query; converting the plurality of received text to a word embedding space; converting the received query to a set of coordinates from the word embedding space and a set of the plurality of determined smoothed transition vectors; determining a plurality of candidate answers based on adding the set of the smoothed transition vectors to the set of coordinates in the word embedding space; determining an answer to the received query based on determining a multivariate normal distribution (MVN) value of each of the plurality of candidate answers, applying a type filtering, conflicting type filtering, and an equivalence filtering on the plurality of candidate answers, and ranking the plurality of candidate answers based on an MVN distribution, wherein the type filtering removes each candidate answer within the plurality of candidate answers based on the determined MVN value associated with a candidate answer not being within a first threshold value, wherein the conflicting type filtering removes each candidate answer within the plurality of candidate answers based on a difference between the determined MVN value associated with the candidate answer and an MVN value of a transition vector not being within a second threshold value, and wherein the equivalence filtering removes each candidate answer within the plurality of candidate answers based on the MVN value of the calculated difference between each candidate answer and the transition vector not being within a third threshold value; and displaying the determined answer.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.88235
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15581339', '15798500', '15162641', '14987827', '14644302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1569926856872528
- 35 USC 102 Novelty (BERT): 0.4753273635630424
- Combined Prediction Score: 0.1888261534748317
- Mean Citation Score: 138.201648
- Max Citation Score: 242.62842
- Similarity Product: 235.69804541148665

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

Dataset: test