International Business Machines Corporation

Hyundai Motor Company

Kia Corporation

Vijai Gandikota

Palani Sakthi

William G Dubyak

Jimmy M Hsu

Brett L Carter

Kameron A Cole

John Ferdinand Pitrelli

Edward J Biddle

Avinash Asthana

Natural language processing is enhanced by linguistically extracting intelligence about a user. A history of user queries is analyzed by a natural language classifier to determine various user intents, and these intents are combined to form a user intent profile. The profile includes elements of sentiment, emotion and tone. The profile can be used in various ways including restricting access to documents in a collection, or refining a cognitive analysis of a query. For access restriction, a determination is made that the user intent is inconsistent with a document, and the user is denied access to the document. This determination involves a user intent score which is compared to a score of the document. For cognitive analysis, searching of reference documents is filtered by excluding documents based on the user intent. The searching includes a comparison of meta-data tags of the documents to the user intent.

Leveraging natural language processing to refine access control within collections

Embodiments provide a computer implemented method in a data processing system including a processor and a memory, the memory including instructions that are executed by the processor to cause the processor to implement a system for generating a type system. The method includes: receiving a document corpus; identifying frequently occurring words from the document corpus, disregarding stop words; extracting a conceptual text for each frequently occurring word from a structured information database; performing a cluster analysis on each conceptual text to identify possible entity types; performing a frequency analysis on possible entity types to select at least one entity type; identifying a relation type between entities in the document corpus; and generating the type system including entity types and relation types.

Generation of domain specific type system

A mechanism is provided in a data processing system for solving a textual logic problem. A logic problem solution engine in the data processing system receives an input text containing a logic problem. A parser executing in the data processing system parses the input text to identify entities in the input text. The logic problem solution engine performs cognitive processing on the input text to discover relationships between the entities. A statistical analysis component executing in the data processing system determines statistical relationships between pairs of entities in the input text to form a set of statistical relationships. The logic problem solution engine determines whether a given statistical relationship within the set of statistical relationships fits as a solution to the logic problem. Responsive to determining that the given statistical relationship within the set of statistical relationships fits as a solution to the logic problem, the mechanism presents the given statistical relationship to the user.

Solving textual logic problems using a statistical approach and natural language processing

Formulating a response to a natural language query based on user intent

A mechanism is provided in a data processing system for identifying a logic problem to be solved in an input text. A parser executing in the data processing system parses the input text to identify entities in the input text. A statistical analysis component executing in the data processing system determines statistical relationships between pairs of entities in the input text to form a set of statistical relationships. A logic problem detection engine executing in the data processing system determines whether the set of statistical relationships includes a high density of standard relationships and one or more outlier relationships. Responsive to determining that the set of statistical relationships includes a high density of standard relationships and one or more outlier relationships, the mechanism presents an indication that the input text includes a logic problem to a user.

Identifying logic problems in text using a statistical approach and natural language processing

Growing community of inventors

Austin, TX, United States of America

Vijai Gandikota