John Joseph Prager

20120084076, Apr 5, 2012

Sep 23, 2011

13/243864

Branimir K. Boguraev - Bedford NY, US
Jennifer Chu-Carroll - Dobbs Ferry NY, US
David A. Ferrucci - Yorktown Heights NY, US
Anthony T. Levas - Yorktown Heights NY, US
John M. Prager - Pomona NY, US

International Business Machines Corporation - Armonk NY

G06F 17/27

704 9

Context-based disambiguation of acronyms and/or abbreviations may determine a target abbreviation and one or more keywords appearing in context with the target abbreviation in a received passage, the target abbreviation representing a shortened form of one or more word. A contextual search query including the target abbreviation and said one or more keywords may be generated. A pseudo document index may be searched for one or more expansions of the target abbreviation by invoking the contextual search query, the pseudo document index containing index of one or more pseudo documents, associated one or more abbreviations and associated context keywords. One or more pseudo documents associated with the target abbreviation may be returned based on the searching of the pseudo document index.

20120330648, Dec 27, 2012

Sep 6, 2012

13/605592

Branimir K. Boguraev - Bedford NY, US
Jennifer Chu-Carroll - Dobbs Ferry NY, US
David A. Ferrucci - Yorktown Heights NY, US
Anthony T. Levas - Yorktown Heights NY, US
John M. Prager - Pomona NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06F 17/27

704 9

Context-based disambiguation of acronyms and/or abbreviations may determine a target abbreviation and one or more keywords appearing in context with the target abbreviation in a received passage, the target abbreviation representing a shortened form of one or more word. A contextual search query including the target abbreviation and said one or more keywords may be generated. A pseudo document index may be searched for one or more expansions of the target abbreviation by invoking the contextual search query, the pseudo document index containing index of one or more pseudo documents, associated one or more abbreviations and associated context keywords. One or more pseudo documents associated with the target abbreviation may be returned based on the searching of the pseudo document index.

58262601, Oct 20, 1998

Dec 11, 1995

8/570149

Roy Jefferson Byrd - Ossining NY
John Martin Prager - Ramsey NJ
Yael Ravin - Mt. Kisco NY
Mark N. Wegman - Ossining NY

International Business Machines Corporation - Armonk NY

G06F 1730

707 5

In an information retrieval system, a query issued by the user is analyzed by a query engine into query elements. After the query has been evaluated against the document collections, a resulting hit list is presented to the user, e. g. , as a table. The presented hit list displays not only an overall rank of a document but also a contribution of each query element to the rank of the document. The user can reorder the hit list by prioritizing the contribution of individual query elements to override the overall rank and by assigning additional weight(s) to those contributions.

59436700, Aug 24, 1999

Nov 21, 1997

8/976246

John Martin Prager - Pomona NY

International Business Machines Corporation - Armonk NY

G06F 1730

707 5

The present invention is a system and method for determining whether the best category for an object under investigation is a mixture of preexisting categories, and how the mixture is constituted. This invention is useful both for suggesting the need for new categories, and for a fixed set of categories, determining whether a document should be assigned to multiple categories. The objects of the categorization system are typically, but need not be, documents. Categorization may be by subject-matter, language or other criteria. The invention causes extra information to be stored in a category index, so that the determination of mixed categories using the methods presented here is performed extremely efficiently.

60030275, Dec 14, 1999

Nov 21, 1997

8/976349

John Martin Prager - Pomona NY

International Business Machines Corporation - Armonk NY

G06F 1730

707 5

After a categorization process has been run, the scores of the top-two ranking categories along with the size or number of features in the object being categorized, are passed to a confidence assignment process. This determines a value for the confidence in the top category based on the evidence afforded by the input parameters. The magnitude of this confidence value will determine whether the system can accept the automatic categorization results, or whether human involvement is required. This invention also describes the process of determining the optimal value of an internal scaling parameter in the confidence assignment process. The construction of a threshold table based on this parameter is also described. The threshold table matches confidence values against error levels. For a given error rate the previously assigned confidence determines whether the categorization results can be accepted without need for human intervention.

20180196920, Jul 12, 2018

Jan 11, 2017

15/403363

- Armonk NY, US
Tejaswini Pedapati - New York NY, US
John M. Prager - Pomona NY, US

G06F 19/00
G06F 17/30

A mechanism is provided in a data processing system comprising at least one processor and at least one memory comprising instructions, which are executed by the at least one processor and configure the processor to implement a patient information extractor. The patient information extractor receives a query specification for executing a query on a patient electronic medical record (EMR). The query specification provides parameters indicating a methodology for extracting search results from the patient EMR. The patient information extractor retrieves the patient EMR from a patient registry. The patient information extractor automatically executes the query specification on the retrieved patient EMR to thereby extract the search results from the patient EMR in accordance with the parameters of the query specification. The patient information extractor automatically processes the extracted search results to generate a patient indicator value. The patient indicator value represents an answer to a question about the patient. A patient evaluation operation is performed based on the patient indicator value.

20170270191, Sep 21, 2017

Jun 8, 2017

15/617617

- Armonk NY, US
James W. Murdock - Millwood NY, US
John P. Prager - Pomona NY, US
Benjamin P. Segal - Hyde Park NY, US
Timothy P. Winkler - Clinton MA, US

G06F 17/30

A mechanism is provided in a data processing system for using paraphrase metrics for answering questions. The mechanism receives an input question and generating a candidate answer from a corpus of information. The candidate answer has a supporting passage from the corpus of information. The mechanism divides the input question into a first sequence of tokens and divides the supporting passage into a second sequence of tokens. The mechanism identifies a plurality of subsequences of tokens within the second sequence of tokens and applies a paraphrase metric to compare the first sequence of tokens to each of the plurality of subsequences of tokens to generate a plurality of paraphrase metric scores. The mechanism then determines a confidence score for the candidate answer based on a highest paraphrase metric score within the plurality of paraphrase metric scores.

20160267085, Sep 15, 2016

Mar 9, 2015

14/641467

- Armonk NY, US
John Martin Prager - Pomona NY, US

G06F 17/30
G06N 7/00

Providing answers to questions. A LAT, a rankable criterion, and a probabilistic criterion are identified in a received query. A set of candidate answers to the question that are instances of the LAT identified in a first data source is generated. Based on the rankable criterion, the candidate answers are ranked. Each candidate answer is assigned a likelihood that the candidate answer satisfies the probabilistic criterion, based on a statistic of occurrences of terms related to the candidate answer and the probabilistic criterion in text passages from a second data source. One or more candidate answers are selected based on the rank and the likelihood of the candidate answers. In another aspect of the invention, a Boolean criterion is also identified in the query and the set of candidate answers is reduced by applying the Boolean criterion.