Abstract: In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants; extracts utterances from the transcript; associates a subset of the utterances with a first group of speakers and the remaining subset of the utterances with a second group of speakers; calculates one or more statistical metrics for a number of engagement metrics based on the utterances of the first group of speakers and the utterances of the second group of speakers; assigns a weight to each of the engagement metrics; determines an engagement score for the communication session based on the assigned weights for the engagement metrics; and presents, to one or more users, the engagement score for the communication session.

Abstract: Managing and applying human resources data comprising aggregating employee transaction data for an organization. A number of human resources-related attributes are evaluated across heterogeneous transaction data. The employee transaction data is classified via statistical machine learning into a number of normalized codes according to the human resources-related attributes, a user interface is presented to adjust a number of organizational operating procedures according to the normalized codes.

Abstract: Methods and systems provide for presenting time distributions of participants across topic segments in a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for each utterance of a speaking participant; determines, based on analysis of the transcript, a meeting type for the communication session; generates a number of topic segments for the conversation and respective timestamps for the topic segments; for each participant, analyzes the time spent by the participant on each of the generated topic segments in the meeting; and presents, to one or more users, data on the time distribution of participants for each topic segment and across topic segments within the conversation.

Abstract: Methods and systems provide an asynchronous pipeline for artificial intelligence service requests. In one embodiment, the system receives, at a gateway service, access to content associated with a communication session; sends, to an artificial intelligence (AI) cluster including a number of AI services, a data payload, the data payload including a location to access the content and a number of requests for AI services to be performed by one or more AI models hosted on the AI cluster using the content as an input; receives one or more AI service results as the AI cluster completes the corresponding requests for the AI services; and stores each received AI service result in one or more databases.

Abstract: Methods and systems provide for presenting the results of talking speed analysis per topic segment in a communication session.

Abstract: Methods and systems provide for extracting next step sentences from a communication session. In one embodiment, the system connects to a communication session involving one or more participants; receives or generates a transcript of a conversation; extracts, from the transcript, a number of utterances including one or more sentences spoken by the participants; identifies a subset of the number of utterances spoken by a subset of the participants associated with a prespecified organization; extracts one or more next step sentences within the subset of the utterances, where the next step sentences each include an owner-action pair structure in which the action is an actionable verb in future tense or present tense; determines a set of analytics data corresponding to the next step sentences and the associated participants; and presents, to one or more users, at least a subset of the analytics data corresponding to the next step sentences.

Abstract: Methods and systems provide for extracting filler words and phrases from a communication session. In one embodiment, the system receives a transcript of a conversation involving one or more participants produced during a communication session; extracts, from the transcript, utterances including one or more sentences spoken by the participants; identifies a subset of the utterances spoken by a subset of the participants associated with a prespecified organization; extracts filler phrases within the subset of utterances, the filler phrases each comprising one or more words representing disfluencies within a sentence, where extracting the filler phrases includes applying filler detection rules; and presents, for display at one or more client devices, data corresponding to the extracted filler phrases.

Abstract: Provided are a method and an apparatus for switching a length of a Bidirectional Forwarding Detection (BFD) packet, and a storage medium. The method includes: in a case where a length of a current BFD packet needs to be switched to a preset length, sending a pre-switching packet independent of the current BFD packet to a second node, wherein a BFD session running in an asynchronous mode is established between a first node and the second node, and the pre-switching packet is used for notifying the second node that the length of the current BFD packet needs to be switched to the preset length; and in a case where an echo packet fed back by the second node in response to the pre-switching packet is received, performing an operation of switching the length of the current BFD packet.

Abstract: A virtual assistant is configured to automatically identify tasks for a user by processing text from various applications of a unified communications platform (e.g., transcripts of conferences, voicemails, emails, and chat logs) to detect action items and infer associated action item data (e.g., task owner, location, and due date). For example, a virtual assistant system may be configured to utilize machine learning natural language understanding technology to extract action items from various input text to form a to-do list with due dates for the task owner. In some implementations, a two-tier machine learning model topology is used to identify action items in strings. The system may recognize named entities such as nouns, verbs, dates/times, locations of action item sentences. The output information may be displayed on a dashboard, in push notifications, or within other user interface aspects of a personal device, thus providing notification or task planning for personal assistance.

Abstract: A method for multi-modal deep learning is provided. The method comprises receiving input data from a database, wherein the input data comprises different data types. Responsive to receiving the input data, a number of corresponding neural extractors are identified to which to route the input data according to data type. Each neural extractor is specialized in extracting latent representations from a specific data type. The neural extractors, via a number of machine learning models, extract latent representations from the input data. The latent representations are then directed to a number of corresponding neural predictors, wherein each input data type is directed to a modality-specific neural predictor. The neural predictors then generate a number of output predictions for each input data type.

Abstract: Provided are a performance measurement method and apparatus, a device, and a storage medium. The method includes: creating a Bit Index Explicit Replication (BIER) flow; encapsulating a BIER flow measurement packet according to a performance measurement requirement of the BIER flow, where the BIER flow measurement packet carries BIER flow identification information; and sending the BIER flow measurement packet to a second communication node.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A graphical user interface is presented that enables a user to edit highlighting to select portions of a conference recording for inclusion in the conference summary. The user can edit highlighting on strings of a transcript and/or on a playback slide bar and the highlighting edits are propagated to both of these interfaces. Video clips selected for inclusion in a summary based on timestamps of strings in a transcript may be extended forward in time to incorporate a nearest I-frame of video. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: A multicast traffic transmission method includes: detecting (S201) whether a transmission link between a designed forwarder (DF) and a traffic reception device is abnormal; and when the transmission link between the DF and the traffic reception device is abnormal, sending (S202) a first request to a backup designed forwarder (BDF). A packet of the first request includes a protection mark and address information about the traffic reception device, and the first request is used for requesting the BDF to forward traffic to the traffic reception device.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. The transcript includes strings that are associated with respective timestamps and respective speaker identifiers. Speaker segments—sequences of consecutive strings attributed to the same speaker—are identified in the transcript. A speaker segment is selected based on its duration in time and one or more strings are selected from with the selected speaker segment for inclusion in the conference summary. A short video conference summary or a short audio conference summary is then generated using timestamps from the transcript associated with strings (e.g., sentences) that have been selected for inclusion in the conference summary. The short video or audio summary may be presented to users to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A short video conference summary or a short audio conference summary is then generated using timestamps from the transcript associated with strings (e.g., sentences) in the transcript that have been selected for highlighting as part of the conference summary. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: An information playback method and device, a computer readable storage medium, and an electronic device, relating to the technical field of computers. Said method comprises: performing identification on a spatial image in a 3D model and obtaining an information display device and a display area in the spatial image (201); determining the display position information corresponding to the display area (202); overlaying an information playback layer in the display area according to the display position information so as to play back display information in the information playback layer (203). By overlaying an information playback layer on the information display device in a 3D model, further information exchange can be implemented in the 3D model, so that user can experience a more reality-like scenario in the 3D model, thereby enhancing user experience.

Abstract: The present disclosure relates to generating a complex entity index based on a combination of atomic and deep learned attributes associated with instances of a complex entity. For example, systems described herein generate a multi-dimensional representation of entity instances based on evaluation of digital content associated with the respective entity instances. Systems described herein further generate an index representation in which similarity of entity instances are illustrated and presented via an interactive presentation that enables a user to traverse instances of an entity to observe similarities and differences between instances of an entity that have similar embeddings to one another within a multi-dimensional index space.

Abstract: Techniques are described for generating and using an extended Bi-directional Forwarding Detection (BFD) control packet in a network. The extended BFD control packet includes a control message that includes a BFD session information, an identifier associated with the device sending the BFD control packet, and a payload part. The extended BFD control packet may be used to perform packet loss and/or packet delay related measurements.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A graphical user interface is presented that enables a user to edit highlighting to select portions of a conference recording for inclusion in the conference summary. The user can edit highlighting on strings of a transcript and/or on a playback slide bar and the highlighting edits are propagated to both of these interfaces. Video clips selected for inclusion in a summary based on timestamps of strings in a transcript may be extended forward in time to incorporate a nearest I-frame of video. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. The transcript includes strings that are associated with respective timestamps and respective speaker identifiers. Speaker segments—sequences of consecutive strings attributed to the same speaker—are identified in the transcript. A speaker segment is selected based on its duration in time and one or more strings are selected from with the selected speaker segment for inclusion in the conference summary. A short video conference summary or a short audio conference summary is then generated using timestamps from the transcript associated with strings (e.g., sentences) that have been selected for inclusion in the conference summary. The short video or audio summary may be presented to users to enable efficient storage and transmission of information from the conference within a unified communications system.