International Business Machines Corporation

John Michael Boyer

Paul R Bastide

Rahul P Akolkar

Charles Francis Wiecha

Kshitij P Fadnis

Michael C Mansell

David Franklin Manning

Vladimir Trakhtenberg

Ethan L Perry

Dinesh Raghu

Jodi M Cutler

Marion R Summerville

Adam L Cutler

Keith MacKenzie

Srikanth Govindaraj Tamilselvam

Scott N Gerard

Jun Hui Liu

Maureen Elizabeth Kraft

Wayne Allan Malkin

Bryan J Kyle

Justin A Ziniel

Collin James Murray

Saurabh Tiwari

Brent Alexander Taylor

He Feng Su

Sonja Christine McLellan

Ragunathan Mariappan

Nazeer S Unnisa

Martin F Dunn

Mihir R Shah

Michael Cain Mansell

Shameem Unnisa Nazeer

A first and second blending profile may be created for a set of question answering pipelines. A set of test answer data may be generated for a first answering pipeline. The test answer data may be generated based on a set of test question and using an answer key associated with the test questions. Based on the test answer data, a first blending profile can be created for the first answering pipeline. Using the set of test questions and a second answer key, another set of test answer data may be generated. This set may be generated for the second answering pipeline. Using this second answering pipeline test answer data, a second blending profile can be generated for the second answering pipeline. Each blending profile may have metadata about a confidence of each pipeline.

Cognitive question answering pipeline calibrating

A mechanism is provided for text classifier training. The mechanism receives a training set of text and class specification pairs to be used as a ground truth for training a text classifier machine learning model for a text classifier. Each text and class specification pair comprises a text and a corresponding class specification. A domain terms selector component identifies at least one domain term in the texts of the training set. A domain terms replacer component replaces the at least one identified domain term in the texts of the training set with a corresponding replacement term to form a revised set of text and class specification pairs. A text classifier trainer component trains the text classifier machine learning model using the revised set to form a trained text classifier machine learning model.

Text classifier training

Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to cause the processor to implement a system for providing profile photo enhancement, the method comprising receiving, from a specification source, one or more specifications for image acceptance criteria; receiving, from an uploading user, an image; examining, through an image processing toolbox, the image to determine if all of the image acceptance criteria are met; if all image acceptance criteria are met, accepting the image; and if one or more image acceptance criteria are not met, processing the image. Acceptance criteria can include a predetermined number of focus items, predetermined length and width constraints, predetermined color constraints, predetermined shape constraints, predetermined focus constraints, predetermined contrast ratio constraints, a predetermined number of human faces present in the image, and predetermined human face orientation constraints.

Enhanced configuration of a profile photo system

Mechanisms are provided for performing watched question processing. The mechanisms detect a change in content of electronic documents in a corpus of electronic documents, and retrieve a watched question from a watched question database. The mechanisms determine whether full processing of the watched question through the question answering pipeline is to be bypassed when performing watched question processing in response to the detected change in content of the electronic documents in the corpus. The mechanisms bypass one or more stages of processing of the question answering pipeline in response to determining that full processing of the watched question through the question answering pipeline is to be bypassed. The mechanisms return a result of the watched question processing indicating that no changes to the previously generated answers are caused by the change in the content of the electronic documents in the corpus.

Performance of time intensive question processing in a cognitive system

An answer to a question may selected from answers from a set of answering pipelines. Question answer data can be generated for a question, using a first answering pipeline. Another set of question answer data can be generated for the second question, using the second answering pipeline. The question answer data can include answers and confidence values for each answer. Using a weighting formula and a blending profile for the first answering pipeline, a vote weight can be determined for an answer with the highest confidence value. The same weighting formula and a second blending profile may be used to determine a vote weight for another answer with the highest confidence value. An answer to the question may be selected from the answers, based on the overall highest vote weight.

Cognitive question answering pipeline blending

A system for presenting and executing a multiplicity of interactive forms as a single document includes a server having one or more copies of a multi-form package and configured to deliver a copy of the package to a requesting device upon request. The system also includes a client computing device configured to request and receive the multi-form package, the first computing device including an application program and a multi-form document engine configured to receive commands from the application program and, in response, cause forms from the multi-form package to be presented and executed.

Multiplexed forms

A system and method for web application navigation control includes updating navigation data models used in navigation constraints with received data from an end-user or system. Without needing a centralized application-specific controller, from a collection of extensible navigation rules associated with each page of a plurality of pages, the extensible navigation rules are automatically selected which depend on changed data values and need re-evaluation. The navigation constraints associated only with the pages potentially changing their ready state to execute from among the plurality of pages in an entire application are evaluated to determine which pages are ready to run based on updated data from the navigation data models. A preferred page to be actually navigated to next is selected from among a set of all available and ready pages by execution of a set of second and separate navigation constraints using results of the navigation constraints of the evaluating step.

System and method for data-driven web page navigation control

A mechanism is provided in a data processing system for aggregating sentiment about an entity from a corpus of documents. The mechanism identifies a plurality of sentiment passages in the corpus of documents. Each of the plurality of sentiment passages includes a statement of sentiment about the entity. The mechanism determines a plurality of passage sentiment scores for the plurality of sentiment passages and an actual aggregate sentiment score from the plurality of passage sentiment scores based on a k-valued model. The mechanism determines a sentiment confidence score for the actual aggregate sentiment score based on the raw aggregate sentiment score and the actual aggregate sentiment score and presents the actual aggregate sentiment score and the sentiment confidence score.

Sentiment aggregation

Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to cause the processor to implement a system for providing profile photo enhancement, the method comprising receiving, from an online platform, one or more specifications for image acceptance criteria; receiving, through an uploading user, a plurality of images; receiving, through a requesting user, a request to view an image; selecting a particular specification for image acceptance criteria; for each image in the plurality of images: examining, through an image processing toolbox, the image to determine if the image acceptance criteria are met; if all acceptance criteria are met, providing the image to the requesting user; if one or more acceptance criteria are not met, taking one or more actions to process the image, reexamining, through the image processing toolbox, the processed image to determine if the image acceptance criteria are met; if all acceptance criteria are met, providing the processed image to the requesting user; and if one or more of the image acceptance criteria are not met, disregarding the processed image for the particular specification for image acceptance criteria.

Enhancement of a profile photo system

An illustrative embodiment includes processing parse tree data. A parse tree data structure that is representative of a document object model (DOM) tree data structure is received. Concomitant to receiving the parse tree data structure, an assignment of index values for the DOM nodes consisting of distinct index values for each existing DOM node is received by the processor. Requests to manipulate the parse tree data structure that include node inserts and document order comparisons are also performed.

Document order management via relaxed node indexing

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Victoria, Canada

John Michael Boyer