The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

An analysis device includes a storage unit that stores input sentences in association with information for distinguishing users, an extraction unit that extracts the input sentences stored in the storage unit on a per-user basis for respective corresponding functions, a classification unit that classifies the input sentences into intra-user similarity groups on the per-user basis for respective corresponding functions so that the input sentences extracted by the extraction unit form the intra-user similarity group consisting of input sentences similar to each other, an aggregation unit that aggregates the intra-user similarity groups among users on the per-function basis so that the intra-user similarity groups form an inter-user similarity group consisting of intra-user similarity groups similar to each other, and an output unit that outputs an aggregation result of the aggregation unit.

An analysis device includes a storage unit that stores input sentences in association with information for distinguishing users, an extraction unit that extracts the input sentences stored in the storage unit on a per-user basis for respective corresponding functions, a classification unit that classifies the input sentences into intra-user similarity groups on the per-user basis for respective corresponding functions so that the input sentences extracted by the extraction unit form the intra-user similarity group consisting of input sentences similar to each other, an aggregation unit that aggregates the intra-user similarity groups among users on the per-function basis so that the intra-user similarity groups form an inter-user similarity group consisting of intra-user similarity groups similar to each other, and an output unit that outputs an aggregation result of the aggregation unit.

Case management systems and techniques are disclosed. Specifically, embodiments of the case management systems and methods disclosed herein utilize checklists to manage the lifecycle of the cases of the case management system.

Case management systems and techniques are disclosed. Specifically, embodiments of the case management systems and methods disclosed herein utilize checklists to manage the lifecycle of the cases of the case management system.

Using a natural language analysis, it is determined that a compendium requires a natural language response to a natural language query, the compendium comprising a set of stored natural language responses to natural language queries. A relevance of a portion of narrative text to the natural language query is scored according to a query relevance measure, the portion extracted from a corpus of narrative text. The compendium is enhanced according to the query relevance score with information in the portion.

In a computer-implemented method for information retrieval and a processing system of a computer-implemented information retrieval system, an input text is received by a Natural Language Processing, NLP, suite, wherein the NLP suite comprises a plurality of models. At least one of the plurality of models is a model trained using selected features. The selected features are determined using a feature selection process. The input text is processed by each one of the plurality of models. An intermediate representation of the input text is generated by each one of the plurality of models. An enhanced representation of the input text is generated by combining a plurality of the generated intermediate representations. Information is retrieved based on the enhanced representation of the input text.

A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.

A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.