International Business Machines Corporation

Sumitro Ghatak

Mukundan Sundararajan

Sanmitra Sarkar

Method and apparatus for dynamic remediation. A set of records associated with a project is accessed. The set of records is processed using one or more natural language processing techniques to generate textual data comprising a plurality of pairs of sentences corresponding to one or more topics associated with the project. An issue for at least one topic associated with the project is identified based on the textual data, comprising identifying a pair of sentences that comprises a first sentence and a second sentence, calculating a sentence similarity score by comparing the first and second sentences using a similarity metric, and determining that the sentence similarity score satisfies one or more criteria. In response to determining that the one or more criteria are satisfied, a project meeting for the issue is scheduled based at least in part on a criticality of the issue.

Embedded context extraction using natural language models for dynamic remediation

An embodiment establishes a creative work database based in part on data representative of a plurality of identified creative works and authors associated with the plurality of identified creative works. The embodiment extracts a set of a first set of features from an unidentified creative work. The embodiment compares the first set of features corresponding to the unidentified creative work to a second set of features corresponding to an identified creative work to obtain a similarity score between the unidentified creative work and the identified creative work. The embodiment compares the similarity score to a threshold similarity score, and upon a determination that the similarity score meets the threshold similarity score, identifies a particular author to associate with the unidentified creative work. The embodiment authenticates the new identified creative work. The embodiment updates the creative work database to include the new identified creative work.

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Kolkata, India

Sumitro Ghatak