Cs Disco, Inc.

International Business Machines Corporation

Verlyn Michael Fischer

Alan Justin Lockett

Mark Gregory Megerian

John B Gordon

Adam M Tate

Ryan Connor Rollings

Robert Duane Harrington

Richard Alan Vestal

Brian Daniel Luskey

Jesse Abraham Ramos

Artificial intelligence based document analysis systems and methods are disclosed. Embodiments of document analysis systems may allow the reuse of coded datasets defined in association with a particular code by allowing these datasets to be bundled to define a dataset for another code, where that code may be associated with a target corpus of documents. A model can then be trained based on that dataset and used to provide predictive scores for the documents of the target corpora with respect to the code. Furthermore, this code can be applied not just to the target corpus of documents, but additionally can be applied against any other corpora.

System and method for artificial intelligence driven document analysis, including automated reuse of predictive coding rules based on management and curation of datasets or models

Embodiments as disclosed may generate an organizational hierarchy based on embeddings of portions of documents. Embeddings resulting from the embedding of the portions of the documents can be clustered using a hierarchical clustering mechanism to segment the portion space into a set of hierarchical clusters. Documents can be assigned to these clusters based on the presence of a portion of a document within a cluster. In this manner, the documents may themselves be clustered based on the clusters created from portions across the documents of the corpus. The clusters to which a document is assigned may also be ranked with respect to that document. Similarly, documents assigned to cluster can be ranked within the cluster to which they are assigned. Additionally, in certain embodiments, names or snippets for the clusters of the hierarchy may be derived from the portions comprising that cluster.

System and method for hierarchically organizing documents based on document portions

A method, system, and computer program product are provided for displaying query items (e.g., patient attributes) and answers (e.g., treatment recommendations) by performing a ranking analysis of query items by running a cognitive analysis comparison of each marginal answer confidence improvement metric for each unspecified query item in the first plurality of query items to rank the query items in sorted order from largest to smallest marginal answer confidence improvement metric.

Cognitive computer assisted attribute acquisition through iterative disclosure

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Cedar Park, TX, United States of America

Verlyn Michael Fischer