PATENT CLAIM ANALYSIS

Application Number: 16003772
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "008000"]

Abstract:
Embodiments can provide a computer implemented method, in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor to cause the processor to implement a mixed-language question answering supplement system, the method comprising receiving a question in a target language; applying natural language processing to parse the question into at least one focus; for each focus, determining if one or more target language verbs share direct syntactic dependency with the focus; for each of the one or more verbs sharing direct syntactic dependency, determining if one or more target language entities share direct syntactic dependency with the verb; determining one or more Abstract Universal Verbal Types associated with each verb; for each of the one or more Abstract Universal Verbal Types, determining whether a dependency between a source language entity and a source language verb is of the same type as the dependency between the target language verb and the target language entity; if the dependency is similar, returning the source language entity as a member of a set; and if the set is full, returning an answer in the target language to the question in the target language.

Claim (Index 1):
A computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to determine language independent candidate answers, the method comprising:\n receiving a natural language question; parsing the question using natural language processing techniques to extract one or more facts from the question; using a cognitive system to convert the one or more facts from the question to one or more acyclic graphs, wherein nodes in the one or more acyclic graphs represent facts and connectors in the one or more acyclic graphs represent connections between two or more facts; using the cognitive system to analyze the one or more acyclic graphs to determine at least one knowledge domain of the question; querying candidate answers having knowledge domains similar to the at least one knowledge domain of the question, wherein the candidate answers are queried from a mixed-language corpora of data; applying deep analysis of the natural language text of the question and each candidate answer to evaluate the candidate answers, wherein the deep analysis uses a plurality of reasoning algorithms to score each candidate answer; and returning the highest ranked candidate answer.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.71795
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16003794', '15297761', '15297763', '15194758', '15208134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2644086220833665
- 35 USC 102 Novelty (BERT): 0.565845219251887
- Combined Prediction Score: 0.2945522818002186
- Mean Citation Score: 329.305266
- Max Citation Score: 434.8654
- Similarity Product: 409.8833951843738

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