International Business Machines Corporation

Nicholas V Bruno

Eric Woods

Jared M D Smythe

Donna Karen Byron

Dwi Sianto Mansjur

Julius Goth, Iii

Jared M Smythe

Robert L Nielsen

Saeid Sakhitab

A mechanism is provided in a data processing system for tailoring question answering system output based on user expertise. The mechanism receives an input question from a questioning user and determines a set of features associated with text of the input question. The mechanism determines an expertise level of the questioning user based on the set of features associated with the text of the input question using a trained expertise model. The mechanism generates one or more candidate answers for the input question and tailors output of the one or more candidate answers based on the expertise level of the questioning user.

Tailoring question answering system output based on user experience

Tailoring question answering system output based on user expertise

Mechanisms are provided for processing logical relationships in natural language content. A logical parse of a first parse of the natural language content is generated by identifying latent logical terms within the first parse indicative of logical relationships between elements of the natural language content. The logical parse comprises nodes and edges linking nodes. At least one knowledge value is associated with each node in the logical parse. The at least one knowledge value associated with at least a subset of the nodes in the logical parse is propagated to one or more other nodes in the logical parse based on propagation rules. The propagating of the at least one knowledge value generates transaction records in a transaction knowledgebase data structure. A reasoning operation is executed based on the transaction knowledgebase data structure.

Natural language processing utilizing transaction based knowledge representation

Mechanisms are provided for processing logical relationships in natural language content. Natural language content is received, upon which a reasoning operation is to be performed. A first parse representation of the natural language content is generated, by a parser, by performing natural language processing on the natural language content. A logical parse of the first parse is generated by identifying latent logical operators within the first parse indicative of logical relationships between elements of the natural language content. A reasoning operation on the logical parse is executed to generate a knowledge output indicative of knowledge associated with one or more of the logical relationships between elements of the natural language content.

Natural language processing utilizing logical tree structures

An approach is provided in which a number of sections from a sequence of characters included in a Portable Document Format (PDF) file are identified. Each of the identified sections includes a unique set of coordinate positions. The approach builds links between the sections based on a relative position of each of the sections in relation to the other sections along an axis. The approach repeatedly merges sections based on the links that were built to form increasingly larger sections until a final larger section is generated with the characters appearing in a manner consistent with human reading of the rendered PDF document rather than the placement of the characters found within the original PDF file.

Reordering text from unstructured sources to intended reading flow

Mechanisms are provided for processing logical relationships in natural language content. A logical parse of a first parse of a natural language content is generated by identifying latent logical operators within the first parse indicative of logical relationships between elements of the natural language content. The logical parse comprises nodes and edges linking nodes. At least one knowledge value is associated with each node in the logical parse. The at least one knowledge value of at least a subset of the nodes in the logical parse is propagated to one or more other nodes in the logical parse based on propagation rules. A reasoning operation is performed on the logical parse to generate a knowledge output indicative of knowledge associated with one or more of the logical relationships between elements of the natural language content.

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Cary, NC, United States of America

Nicholas V Bruno