US 12,131,127 B2
Computer implemented method for the automated analysis or use of data
William Tunstall-Pedoe, Cambridgeshire (GB); Finlay Curran, Cambridgeshire (GB); Harry Roscoe, Cambridgeshire (GB); and Robert Heywood, Cambridgeshire (GB)
Assigned to UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED, Cambridgeshire (GB)
Filed by UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED, Cambridgeshire (GB)
Filed on Dec. 25, 2022, as Appl. No. 18/088,588.
Application 18/088,588 is a continuation of application No. 18/001,368, previously published as PCT/GB2021/052196, filed on Aug. 24, 2021.
Claims priority of application No. 2013207 (GB), filed on Aug. 24, 2020; application No. 2014876 (GB), filed on Sep. 21, 2020; and application No. 2020164 (GB), filed on Dec. 18, 2020.
Prior Publication US 2023/0125580 A1, Apr. 27, 2023
Int. Cl. G06N 5/02 (2023.01); G06F 16/242 (2019.01); G06F 16/31 (2019.01); G06F 16/332 (2019.01); G06F 16/951 (2019.01); G06F 40/123 (2020.01); G06F 40/126 (2020.01); G06F 40/20 (2020.01); G06F 40/205 (2020.01); G06F 40/211 (2020.01); G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/45 (2020.01); G06F 40/47 (2020.01); G06F 40/58 (2020.01); G06N 3/0442 (2023.01); G06N 3/0455 (2023.01); G06N 3/0499 (2023.01); G06N 3/08 (2023.01); G06Q 10/1053 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0601 (2023.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/26 (2006.01); G10L 25/63 (2013.01); G16H 10/60 (2018.01); H04L 51/02 (2022.01); G06N 3/091 (2023.01); G10L 15/08 (2006.01)
CPC G06F 40/35 (2020.01) [G06F 16/243 (2019.01); G06F 16/322 (2019.01); G06F 16/3329 (2019.01); G06F 16/951 (2019.01); G06F 40/123 (2020.01); G06F 40/126 (2020.01); G06F 40/20 (2020.01); G06F 40/205 (2020.01); G06F 40/211 (2020.01); G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06F 40/45 (2020.01); G06F 40/47 (2020.01); G06F 40/58 (2020.01); G06N 3/0442 (2023.01); G06N 3/0455 (2023.01); G06N 3/0499 (2023.01); G06N 3/08 (2013.01); G06N 5/02 (2013.01); G06Q 10/1053 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0257 (2013.01); G06Q 30/0631 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G10L 25/63 (2013.01); G16H 10/60 (2018.01); H04L 51/02 (2013.01); G06N 3/091 (2023.01); G10L 2015/088 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A computer implemented method for the automated analysis or use of data, comprising the steps of:
(a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language, wherein the data includes data relating to social media postings;
(b) automatically processing structured, machine-readable representation of data to determine if the social media postings are compliant with requirements preventing abusive or illegal social media postings;
the method including the step of:
processing the machine-readable representation of data that conforms to the machine-readable language, including the data relating to social media postings, (i) in which the machine-readable language uses a syntax that is a single shared syntax that applies to passages that represent factual statements, query statements and reasoning statements;
(ii) in which the machine-readable language uses a syntax that is a substantially unambiguous syntax comprising nesting of structured representations of data;
(iii) in which the machine-readable language uses an identifier selected from an address space that is sufficiently large to enable users to select a new identifier with negligible risk of selecting a previously allocated identifier; and
(iv) in which the machine-readable representation of data that conforms to the machine-readable language is scalable, since there are no restrictions on which users can create structured representations of data or related identifier;
the method including the step of using a neural architecture to generate the machine-readable representation of the data relating to the social media postings, in which the neural architecture utilizes recurrent neural networks or long short-term memories (LSTMs) or attention mechanisms or transformers, or a switch transformer feed forward neural network system.