IP Library Granted Patent US 10,169,333
Granted Patent B2
US 10,169,333 · App. 16/041,359 · Granted Jan 1, 2019

System, method, and recording medium for regular rule learning

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,169,333
App. No.
16/041,359
Granted
Jan 1, 2019
Kind
B2
Abstract

A regular rule learning system, including an analyzing circuit configured to analyze a corpus of sentences to find semantic relationships between sentence constituents that are responsible for specific senses of words in that sentence by describing the semantic relationships and grammatical relations that are actuated in the sentence.

Claims (21)

1. A regular rule learning system, comprising:

a processor; and

a memory, the memory storing instructions to cause the processor to execute:

an analyzing circuit configured to analyze a corpus of sentences to discover lexical features of the sentences and to find semantic relationships between sentence constituents that are responsible for specific senses of words in that sentence by describing the semantic relationships and grammatical relations that are actuated in the sentence,

wherein the lexical features are unknown prior to the analyzing circuit discovering the lexical features.

2. The system of claim 1 , wherein the analyzing circuit further analyzes the corpus of sentences stored in a database to discover the lexical features of the sentences and conjunctively create a set of regular rules based on the discovered lexical features and syntactical features of the sentences.

3. The system of claim 2 , wherein the syntactical features of the corpus of sentences are given.

4. The system of claim 2 , wherein the lexical features are calculated from the corpus of sentences stored in the database prior to the syntactical features being given to the corpus of sentences.

5. A regular rule learning method, comprising:

analyzing a corpus of sentences to discover lexical features of the sentences and to find semantic relationships between sentence constituents that are responsible for specific senses of words in that sentence by describing the semantic relationships and grammatical relations that are actuated in the sentence,

wherein the lexical features are unknown prior to the analyzing discovering the lexical features.

6. The method of claim 5 , wherein the analyzing further analyzes the corpus of sentences stored in a database to discover the lexical features of the sentences and conjunctively create a set of regular rules based on the discovered lexical features and syntactical features of the sentences.

7. The method of claim 6 , wherein the lexical features are calculated from the corpus of sentences stored in the database prior to the syntactical features being given to the corpus of sentences.

8. A non-transitory computer-readable recording medium recording a regular rule learning program, the program causing a computer to perform:

analyzing a corpus of sentences to discover lexical features of the sentences and to find semantic relationships between sentence constituents that are responsible for specific senses of words in that sentence by describing the semantic relationships and grammatical relations that are actuated in the sentence,

wherein the lexical features are unknown prior to the analyzing discovering the lexical features.

9. The non-transitory computer-readable recording medium of claim 8 , wherein the analyzing further analyzes the corpus of sentences stored in a database to discover the lexical features of the sentences and conjunctively create a set of regular rules based on the discovered lexical features and syntactical features of the sentences.

10. The non-transitory computer-readable recording medium of claim 9 , wherein the lexical features are calculated from the corpus of sentences stored in the database prior to the syntactical features being given to the corpus of sentences.

11. The system of claim 1 , wherein the set of regular rules predicts a meaning of a user input in the corpus of sentences without referring to a database and independently of any other rule.

12. The method of claim 5 , wherein the set of regular rules predicts a meaning of a user input in the corpus of sentences without referring to a database and independently of any other rule.

13. The non-transitory computer-readable recording medium of claim 9 , wherein the set of regular rules predicts a meaning of a user input in the corpus of sentences without referring to a database and independently of any other rule.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2021
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: AIRBNB, INC.
Reel/Frame 056427/0193 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 20, 2018
From: POPESCU, OCTAVIAN; SHEININ, VADIM
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 046417/0542 →
Cited By (1)
US 12,333,256