Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the quality of a communication session. One of the methods includes identifying, by a communication system, a communication session between one or more users of the communication system, wherein, during the communication session, session data is routed between a first communications device of a first user of the communication system and one or more other communications devices along a communication path; obtaining, from each of a plurality of communication nodes along the communication path, quality data relating to a quality of the communication session at the communication node; generating, using the quality data, a model input to a quality score machine learning model; and providing the model input as input to the quality score machine learning model to generate the estimated quality score for at least the portion of the communication session.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the quality of a communication session. One of the methods includes identifying, by a communication system, a communication session between one or more users of the communication system, wherein, during the communication session, session data is routed between a first communications device of a first user of the communication system and one or more other communications devices along a communication path; obtaining, from each of a plurality of communication nodes along the communication path, quality data relating to a quality of the communication session at the communication node; generating, using the quality data, a model input to a quality score machine learning model; and providing the model input as input to the quality score machine learning model to generate the estimated quality score for at least the portion of the communication session.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the quality of a communication session. One of the methods includes identifying, by a communication system, a communication session between one or more users of the communication system, wherein, during the communication session, session data is routed between a first communications device of a first user of the communication system and one or more other communications devices along a communication path; obtaining, from each of a plurality of communication nodes along the communication path, quality data relating to a quality of the communication session at the communication node; generating, using the quality data, a model input to a quality score machine learning model; and providing the model input as input to the quality score machine learning model to generate the estimated quality score for at least the portion of the communication session.