CPC G06Q 10/103 (2013.01) [G06F 40/30 (2020.01); G06Q 10/06311 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A system configured to generate work unit records within a collaboration environment, the system comprising:
one or more physical processors configured by machine-readable instructions to:
manage, by a server, electronically stored environment state information maintaining a collaboration environment, the collaboration environment being configured to facilitate interaction by users with the collaboration environment, the users interacting with the collaboration environment through remotely located client computing platforms communicating with the server over one or more network connections, the environment state information including work unit records, the work unit records including work information characterizing units of work created within the collaboration environment, managed by the users within the collaboration environment, and assigned to within the collaboration environment to the users who are expected to accomplish one or more actions to complete the units of work, the work information comprising values of work unit parameters characterizing the units of work;
establish the one or more network connections between the server and the remotely located client computing platforms;
obtain, by the server, input information defining digital assets for recorded audio content, the recorded audio content including utterances, wherein the input information defines a first digital asset for first recorded audio content including a first set of utterances;
generate, by the server, transcription information characterizing the recorded audio content of the digital assets, the transcription information including transcripts of the utterances, the transcripts including text strings characterizing the utterances, wherein first transcription information is generated from the first recorded audio content of the first digital asset, the first transcription information including a first transcript comprising a first set of text strings characterizing the first set of utterances;
train, by the server, a machine-learning model based on a text corpus to generate a trained machine-learning model, the text corpus comprising user-generated text that makes up pages of a graphical user interface of the collaboration environment through which the users access the work unit records, the trained machine-learning model being configured to provide output including new work information defining new ones of the work unit records;
provide, by the server, the transcription information as input into the trained machine-learning model, such that the input into the trained machine-learning model includes the first transcription information;
obtain, by the server, the output from the trained machine-learning model, the output including the new work information defining the new ones of the work unit records based on the transcripts, wherein the new work information defining the new ones of the work unit records includes the values of one or more of the work unit parameters of the new ones of the work unit records, such that the output includes first new work information of a first work unit record based on the input of the first transcription information;
generate, by the server, user interface information defining new pages of the graphical user interface of the collaboration environment through which the users access the new work information defining the new ones of the work unit records;
effectuate communication of the user interface information from the server to the remotely located client computing platforms over the one or more network connections to cause the remotely located client computing platforms to present the new pages, such that first user interface information defining a first new page associated with the first work unit record is communicated to a first remotely located client computing platform to cause the first remotely located client computing platform to present the first new page through which a first user accesses the first new work information;
obtain, by the server, further input information conveying user input into the new pages that corrects and/or validates the new work information appearing on the new pages; and
refine, by the server, the trained machine-learning model based on whether the new work information has been corrected and/or validated through the user input into the new pages, such that the trained machine-learning model is refined in response to the first new work information appearing on the first new page being corrected or validated.
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