PATENT CLAIM ANALYSIS

Application Number: 15899389
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["704", "009000"]

Abstract:
The invention relates to a system and method for integrating domain information into state transitions of a Finite State Transducer (“FST”) for natural language processing. A system may integrate semantic parsing and information retrieval from an information domain to generate an FST parser that represents the information domain. The FST parser may include a plurality of FST paths, at least one of which may be used to generate a meaning representation from a natural language input. As such, the system may perform domain-based semantic parsing of a natural language input, generating more robust meaning representations using domain information. The system may be applied to a wide range of natural language applications that use natural language input from a user such as, for example, natural language interfaces to computing systems, communication with robots in natural language, personalized digital assistants, question-answer query systems, and/or other natural language processing applications.

Claim (Index 4):
The method of  claim 2 , wherein retrieving the plurality of domain tokens comprises:\n initializing an input FST based on the first token and the semantic structure; and composing the input FST based on the first FST path and the second FST path, wherein the first FST path and the second FST path are integrated with the input FST, and wherein the first FST is selected from the input FST.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 1.94118
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14855346', '14951389', '15726394', '14176067', '15091191']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3428603467980537
- 35 USC 102 Novelty (BERT): 0.6431946732878707
- Combined Prediction Score: 0.3728937794470354
- Mean Citation Score: 327.10835800000007
- Max Citation Score: 646.7632
- Similarity Product: 579.4301465230942

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