A text processing method includes: word segmentation is performed on a first text to be processed to determine multiple words of the first text; one word is removed from the first text to obtain one second text; each word is removed from the first text one by one to obtain a second text set; the first text and each second text in the second text set are analyzed respectively to obtain a first tree structure of the first text and a second tree structure of each second text; and a summary text of the first text is determined according to the first tree structure and each second tree structure.

The present disclosure relates to extracting entities from a collection of digital content items based on text from within the digital content items. For example, the present disclosure describes a customizable entity extraction system that utilizes a number of models to extract entities, rank entities, and classify certain entities using a combination of rule-based and machine learning approaches. In one or more embodiments, a customizable entity extraction system applies a set of rules to unstructured text of a collection of digital content items to extract and classify a set of entities in connection with a specific domain of interest.

Systems and methods for quantum computing-based summarization are disclosed. A method for quantum computing-based summarization may include a classical computer program: receiving a document having a plurality of sentences; receiving a summary parameter that represents a subset of the plurality of sentences to include in a summary of the document; generating a vector for each sentence; calculating a centrality value for each vector; calculating a similarity value to other vectors for each vector; creating a cost function using the similarity values, the centrality values, a number of the plurality of sentences in the document, and the summary parameter; instructing a quantum computer to optimize the cost function using a quantum algorithm; receiving a dictionary comprising a plurality of distributions of the plurality of sentences and a probability for each distribution; and generating a summary comprising a subset of the plurality sentences based on a distribution having a highest probability.

Systems and methods for multi-source reference class identification, base rate calculation, and prediction are disclosed. The systems and method can guide on, then elicit, information about reference class identification on a case-by-case basis, connects to a database in order to calculate historical base rates according to user reference class selections, and collect additional quantitative and qualitative information from users. The systems and methods can then generate predictive estimates based on the combination of the inputs by one or more users.

Systems and methods for graph based artificial intelligence systems for identity management systems are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to peer grouping of identities of distributed networked enterprise computing environment. Specifically, in certain embodiments, data on the identities and the respective entitlements assigned to each identity as utilized in an enterprise computer environment may be obtained by an identity management system. A network identity graph may be constructed using the identity and entitlement data. The identity graph can then be clustered into peer groups of identities. The peer groups of identities may be used by the identity management system and users thereof in risk assessment or other identity management tasks.

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Systems and methods for generating concept-based search summaries from a plurality of documents are provided. In one embodiment, a system may include interfaces to receive information identifying a meaning taxonomy including a normalized term and a search query including search terms. The system may be configured to identify documents relating to the search terms and normalized terms and display a concept-based summary of the documents, the summary including a syntactic structure associated with the normalized terms and search terms. In another embodiment, a method includes receiving a meaning taxonomy including normalized terms and search terms, identifying at least one document including the search terms and syntactic structures associated with the normalized terms, and display a search summary including the search terms and syntactic structures.

Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

Systems and methods for summarizing captions, configuring playback speed, and rewriting the caption file for a media asset are disclosed. The system determines whether to display the original captions or a summarized version of the captions, which are based on user's language proficiency level, reading pace, and historical data, and can be generated either on-demand or automatically when rewinds and pauses are detected. The caption file which includes the original captions can be rewritten. The system determines whether to stream a caption or a rewritten file to a media device based on user or system selections. In the absence of a caption file, or when the caption file cannot be summarized, the playback speed of the media asset is slowed down to provide additional reading time to the user.

Systems and methods for summarizing captions, configuring playback speed, and rewriting the caption file for a media asset are disclosed. The system determines whether to display the original captions or a summarized version of the captions, which are based on user's language proficiency level, reading pace, and historical data, and can be generated either on-demand or automatically when rewinds and pauses are detected. The caption file which includes the original captions can be rewritten. The system determines whether to stream a caption or a rewritten file to a media device based on user or system selections. In the absence of a caption file, or when the caption file cannot be summarized, the playback speed of the media asset is slowed down to provide additional reading time to the user.