Transcript question search for text-based video editing

A method comprising:

• receiving, via a video editing interface, a command to navigate a loaded video by searchable questions;
• responsive to receiving the command to navigate the loaded video by the searchable questions, identifying the searchable questions asked in the loaded video based on triggering:
• identifying questions asked in the loaded video by parsing a diarized transcript of the loaded video;
• identifying a subset of the questions asked by a particular diarized speaker and not answered by a different diarized speaker in the diarized transcript within a designated amount of time;
• encoding each question of the questions asked in the loaded video into a corresponding vector representation of each question;
• and
• filtering out the subset from the questions and logistical questions from the questions to output the searchable questions, wherein filtering out the logistical questions is based on comparing the corresponding vector representation of each question to a sentence embedding generated by combining an encoded representation of example logistical questions into a composite representation of the example logistical questions;
• and
• causing the video editing interface to present a plurality of tiles representing and configured to navigate the loaded video to corresponding video segments during which each of the searchable questions was asked in the loaded video in a search interface of the video editing interface.

A computer system comprising one or more processors and memory configured to provide computer program instructions to the one or more processors, the computer program instructions comprising:

• question identifier component configured to receive a command to navigate a loaded video by questions by identifying a plurality of questions asked in the loaded video based on triggering:
• identifying an initial set of questions asked in the loaded video by parsing a transcript of the loaded video;
• encoding each question of the initial set of questions asked in the loaded video into a corresponding vector representation of each question;
• filtering out logistical questions from the initial set of questions asked in the loaded video based on comparing the corresponding vector representation of each question to a sentence embedding generated by combining an encoded representation of example logistical questions into a composite representation of the example logistical questions;
• and
• combining a group of consecutive questions of the filtered initial set of questions into a single question of the plurality of questions based on a determination that the group of consecutive questions are within a threshold cosine similarity;
• and
• a question navigator component configured to present a plurality of tiles representing and configured to navigate the loaded video to corresponding video segments during which each of the identified plurality of questions was asked in the loaded video.