Abstract: A computing device of a system is deployed within a communication network for processing environmental, social, and governance (ESG) reports. The computing device is configured to obtain an ESG report of an entity, receive a question in natural language regarding information contained in or inferable from the ESG report, convert the ESG report into page-wise pieces of text, determine an answer to the question based at least upon the page-wise pieces of text of the ESG report, determine a location of a snippet related to the answer in the page-wise pieces of text of the ESG report, generate a bounding box through which the snippet is highlighted in a page containing the snippet, crop the page based on the bounding box, and display a cropped image of the page.

Abstract: A system is disclosed for identifying industrial ergonomics risk root-causes and providing risk control actions. The system includes a processor configured to execute machine readable instructions to receive, from a computing device of a user, video of an individual performing a task and receive, from the computing device, textual information related to the task. The processor is also configured to process the textual information and the video of the individual performing the task through a deep learning framework to determine ergonomic risk root-causes. The processor is further configured to determine ergonomic risk control recommendations to mitigate the determined ergonomic risk root-causes. The processor transmits, to the computing device, information indicative of the ergonomic risk control recommendations and the ergonomic risk root-causes.

Abstract: A computing device of a system is deployed within a communication network for processing environmental, social, and governance (ESG) reports. The computing device is configured to obtain an ESG report of an entity, receive a question in natural language regarding information contained in or inferable from the ESG report, convert the ESG report into page-wise pieces of text, determine an answer to the question based at least upon the page-wise pieces of text of the ESG report, determine a location of a snippet related to the answer in the page-wise pieces of text of the ESG report, generate a bounding box through which the snippet is highlighted in a page containing the snippet, crop the page based on the bounding box, and display a cropped image of the page.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.