PATENT CLAIM ANALYSIS

Application Number: 15900176
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["704", "009000"]

Abstract:
An artificial intelligence based method and apparatus for generating information are disclosed. The method in an embodiment includes: segmenting a to-be-processed text into characters to obtain a character sequence; determining a character vector for each character in the character sequence to generate a character vector sequence; generating a plurality of character vector subsequences by segmenting the character vector sequence based on a preset vocabulary; for each generated character vector subsequence, determining a sum of character vectors composing the character vector subsequence as a target vector, and inputting the target vector into a pre-trained first neural network to obtain a word vector corresponding to the each character vector subsequence, the first neural network used to characterize a correspondence between the target vector and the word vector; and analyzing the to-be-processed text based on the obtained word vector to generate an analysis result. This embodiment improves the adaptability of text processing.

Claim (Index 10):
The apparatus for generating information according to  claim 7 , wherein the analyzing the to-be-processed text based on the obtained word vector to generate an analysis result comprises:\n extracting successively word vectors corresponding to the character vector subsequences according to a sequential order of the character vector subsequences in character vectors, to generate a word vector sequence; and inputting the word vector sequence and a pre-generated word vector sequence corresponding to a preset text respectively into a pre-trained similarity calculation model, to obtain a similarity calculation result of the to-be-processed text and the preset text, wherein the similarity calculation model is used to characterize a correspondence between the word vector sequence corresponding to a plurality of texts and a similarity calculation result of the plurality of texts.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.31884
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15900166', '15407713', '15408526', '15426727', '12707283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2978837584417175
- 35 USC 102 Novelty (BERT): 0.497782630782896
- Combined Prediction Score: 0.3178736456758353
- Mean Citation Score: 241.890776
- Max Citation Score: 267.73505
- Similarity Product: 212.9641250123918

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

Dataset: test