Keith Houck - Rye NY, US Shimei Pan - Armonk NY, US Siwei Shen - Ann Arbor MI, US Michelle Zhou - Briarcliff Manor NY, US
International Classification:
H04Q 7/20 H04B 7/00
US Classification:
707002000
Abstract:
One embodiment of the present method and apparatus for robust input interpretation by conversation systems includes receiving a user request containing at least one un-interpretable term. The present invention conveys the conversation system's interpretation capabilities to the user, for example by suggesting at least one alternative request in context of the un-interpretable user request, where the alternative request is phrased in a manner that is substantially fully interpretable. A user may then select a suggested alternative request or formulate a new request in accordance with knowledge of the conversation system capabilities learned from the conveyed information. In another embodiment, a method may independently (e.g., without user prompting) adapt the un-interpretable user request in accordance with learned information regarding the meaning of any un-interpretable terms in the user request.
Methods And Apparatus For Integration Of Visual And Natural Language Query Interfaces For Context-Sensitive Data Exploration
Keith C. Houck - Rye NY, US Peter Kissa - Ossining NY, US Shimei Pan - Armonk NY, US Michelle X. Zhou - Briarcliff Manor NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
707 4, 707E17015
Abstract:
Methods and apparatus are provided for integrating a visual query interface and a natural language interface. The disclosed interface embeds a first of the visual query interface and the natural language interface into a second of the visual query interface and the natural language interface. The disclosed interface can also receives one or more natural language expressions in the natural language interface and one or more visual query expressions in the visual query interface in a same search turn. The disclosed interface can also receive a first query comprised of a first of a natural language query and a visual query; process the first query; and creates a substantially equivalent query to the first query in a second of the natural language query and the visual query The disclosed interface can process a natural language query to determine if a portion of the natural language query is not understood; and convert at least a portion of the natural language query to a visual query.
In-Box Configuration Apparatus For A Computer System
Keith Coleman Houck - Rye NY David B. Rhoades - Apex NC John Joseph Edward Turek - Nyack NY
Assignee:
IBM International Business Machines Corporation - Armonk NY
International Classification:
G06F 9445
US Classification:
713 2
Abstract:
Apparatus for configuring a computer system is adapted to allow configuration to occur on the system unit without removing the system unit from its packaging. By so preparing and operating the unit that it can function to a degree as a network client, it is possible to perform steps for configuring "in the package" that violate normal self test expectations. With this abnormal operating environment and operation the system is placed in condition to be removed from the packaging at the user's location with BIOS and program image customized for the user. This approach provides a freshly configured system and yet eliminates unpacking at a configuration center and then repacking for transfer to the user or the need for refresh configuration at the user site as the system unit is set up for normal use.
Keith Coleman Houck - Rye NY Howard J. Locker - Cary NC David B. Rhoades - Apex NC John Joseph Edward Turek - South Nyack NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
B65B 6900
US Classification:
53428
Abstract:
A method and apparatus for configuring a computer system is adapted to allow configuration to occur on the system unit without removing the system unit from its packaging. By so preparing and operating the unit that it can function to a degree as a network client, it is possible to perform steps for configuring "in the package" that violate normal self test expectations. With this abnormal operating environment and operation the system is placed in condition to be removed from the packaging at the user's location with BIOS and program image customized for the user. This approach provides a freshly configured system and yet eliminates unpacking at a configuration center and then repacking for transfer to the user or the need for refresh configuration at the user site as the system unit is set up for normal use.
- Armonk NY, US Shi Lei Zhang - Beijing, CN Toyotaro Suzumura - New York NY, US Keith Coleman Houck - Rye NY, US Ryo Kawahara - Tokyo, JP
International Classification:
G06Q 20/38 H04L 29/06
Abstract:
A suspicious pattern can be detected within a transaction network of nodes. Nodes of the network are walked by determining if any adjacent node to a current node is within the suspicious pattern. If an adjacent node is within the suspicious pattern, that node is walked to. Based on the walk, a node sequence can be generated.
Temporal Directed Cycle Detection And Pruning In Transaction Graphs
- ARMONK NY, US Toyotaro Suzumura - New York NY, US Keith Coleman Houck - Rye NY, US Kumar Bhaskaran - Englewood Cliffs NJ, US
International Classification:
G06F 16/23 G06F 16/901 G06N 20/00 G06Q 20/40
Abstract:
A method for improving computing efficiency of a computing device for temporal directed cycle detection in a transaction graph includes preparing the transaction graph based on a plurality of transactions, the transaction graph including nodes indicating transaction origination points and transaction destination points, and edges indicating interactions between the nodes. Irrelevant nodes in the transaction graph are identified and pruned to provide a pruned, preprocessed transaction graph which can be partitioning into sections, where each section includes selected nodes that are linked to other linked nodes therein. Each of the sections having non-cyclic nodes can be trimmed prior to performing cycle detection on the resulting pruned transaction graph. Postprocessing pruning can be performed to further reduce the number of detected cycles that may be of interest to a particular application, such as in anti-money laundering.
- Armonk NY, US Keith C. Houck - Rye NY, US Ching-Yung Lin - Forest Hills NY, US Wanyi Lin - Yorktown Heights NY, US Peter K. Malkin - Yorktown Heights NY, US Shimei Pan - Clarksville MD, US Youngja Park - Princeton NJ, US Justin Weisz - Stamford CT, US
International Classification:
G06F 21/55
Abstract:
Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
- Armomk NY, US Keith C. Houck - Rye NY, US Ching-Yung Lin - Forest Hills NY, US Wanyi Lin - Yorktown Heights NY, US Peter K. Malkin - Yorktown Heights NY, US Shimei Pan - Armonk NY, US Youngja Park - Princeton NJ, US Justin D. Weisz - Stamford CT, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06N 5/04
US Classification:
706 52
Abstract:
Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
Chapel Hill, NCScientist at US Environmental Protection Agency Past: Research Advisor at Eli Lilly & Company, Senior Biologist at Sphinx Pharmaceuticals...