International Business Machines Corporation

Google Inc.

Wayfair LLC

Andrew Jason Lavery

Mario Alessandro Maldari

Fernando Jose Suarez Saiz

Igor S Ramos

Richard Joseph Stevens

Eric L Erpenbach

Nnaemeka Iriele Emejulu

Scott B Greer

Xiaoping Chen

Sarah R Plantenberg

Paul Joseph Hake

Kimberly Holmes Cady

Scott Robert Carrier

Kirk Malcolm Sexton

Bryan Christopher Chagoly

Matthew Albright

Ye Liu

Earl J Wagner

Michael Alan Picheny

Kenney Ng

Michael E Browne

Joshua S Allen

Karthikeyan Ramamoorthy

Paul C Tang

Howard Milton McKinney

Shunguo Yan

James Lee Lentz

Marc Dickenson

Faheem Altaf

Su Liu

Lin Sun

Aaron J Quirk

Lorin Ullmann

Lakshminarayanan Krishnamurthy

Lisa M Bradley

Brian O'Donovan

Muhtar B Akbulut

Sandra Lee Tipton

Leucir Marin, Jr

Byron Christian Gehman

Conrad James Johnson

Bernadette Marie Wing

James Michael Pavlovsky

Brian C Chagoly

Kimberly S Holmes

Albert Tabachnik

Susan M Manupelli

Silvia Giacone

David B Salgado

Byran Christopher Chagoly

A method includes receiving, by a processing device, a natural language query corresponding to a request to create a document having a tabular structure, identifying, by the processing device, one or more attribute categories pertaining to the document, converting, by the processing device, the natural language query into a data access query for accessing at least one external data source, retrieving, by the processing device from the at least one external data source, a plurality of data items corresponding to the one or more attribute categories, and generating, by the processing device, the document by populating each cell of a plurality of cells of the document with a respective data item of the plurality of data items.

Autonomous spreadsheet creation

A method includes receiving, by a processing device from a client device associated with a user, a natural language query corresponding to a request to create, for the user, a personalized document having a tabular structure, determining, by the processing device, one or more attribute categories pertaining to the personalized document, identifying, by the processing device, at least one external data source including at least one subjective data source related to the user, retrieving, by the processing device from the at least one external data source, data items indicative of the one or more attribute categories, and generating, by the processing device, the personalized document for the user by populating each cell of the personalized document with a respective data item.

Personalized autonomous spreadsheets

An image of a financial instrument can be received and analyzed. One or more properties of the financial instrument can be determined based on the image. A uniqueness rating of the financial instrument can be determined based on the property or properties. Terms of the financial instrument are identified, and the financial instrument and identified terms are recorded in a digital storage base.

User-created financial instruments

Aspects include receiving a document and classifying at least a subset of the document as having a first type of data. Features are extracted from the document. The extracting includes initiating processing of the at least a subset of the document by a first processing engine that was previously trained to extract features from the first type of data. The extracting also includes initiating processing of a remaining portion of the document not included in the at least a subset of the document by a second processing engine that was previously trained to extract features from a second type of data. The first type of data is different than the second type of data. Features are received from one or both of the first processing engine and the second processing engine. The received features are stored as features of the document.

Handling form data errors arising from natural language processing

Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.

Determining user interactions with natural language processor (NPL) items in documents to determine priorities to present NPL items in documents to review

An event at a location is identified. An event risk of the event can be calculated based on risk characteristics of both the location of the event ('location risk characteristics') and the event itself ('personnel risk characteristics'). Location risk characteristics can include a visitor history of the location. Personnel risk characteristics can be based on attendees of the event, such as a number of attendees. The overall event risk, once calculated, can be compared to a threshold. Depending on the comparison, a risk mitigation policy can be implemented.

Location-based risk evaluation

Aspects of the invention include a computer-implemented method for generating promise identifiers for documents. Aspects include processing a document including a reference, wherein processing includes performing natural language processing (NLP) the document, and identifying the reference included in the document. Aspects also include generating a promise identifier for the reference in the document, and responsive to processing the document, resolving the promise identifier for the reference by providing data of the reference associated with the promise identifier. Aspects of the invention also include a computer program product and system for generating promise identifiers for documents.

Promised natural language processing annotations

A method, computer system, and a computer program product for modifying a user interface. Attributes of a source object identified by a user in connection with a user input for storing the source object are determined. Attributes of one or more target storage locations are determined. A target storage location for storing the source object is predicted, along with a confidence value associated with the prediction. The prediction is made using a machine learning model that predicts the predicted target storage location and associated confidence value based on the determined attributes of the source object. A plurality of target storage location usage patterns are determined. The user interface is modified based on the predicted target storage location.

Facilitating user input by predicting target storage locations

Aspects of the invention include resolving future reference identifiers for documents. Aspects of the invention include processing a document including a reference to a future event, wherein processing includes performing natural language processing (NLP) on the document, and identifying the reference to the future event included in the document. Aspects of the invention also include generating a future reference identifier for the reference to the future event, and responsive to processing an occurrence of the future event, resolving the future reference identifier by providing data from a subsequent document for the future event associated with the future reference identifier.

Future potential natural language processing annotations

A system assists a user to traverse a structure. A safety device includes a sensor assembly to detect positions of a user along a travel path for a structure, wherein the travel path includes a plurality of attachment points to secure the user to the structure via one or more lines, a motion assembly to move the safety device along the travel path based on the detected positions of the user, wherein the motion assembly maintains a threshold distance from the user, and a coupling mechanism to couple the one or more lines to one or more of the attachment points encountered along the travel path. Embodiments of the present invention further include a method and program product for assisting a user to traverse a structure in substantially the same manner described above.

Safety device for assisting a user to traverse a structure

Aspects of the invention include detecting and processing sections spanning processed document partitions by caching a document partition. The document partition includes metadata indicating that the document partition is a portion of a whole document. Aspects also include pairing a candidate paragraph from the document partition with a cached paragraph segment and determining, using a coherence model, a probability that the candidate paragraph and the cached paragraph segment constitute a semantically coherent paragraph. Aspects further include discarding the cached paragraph segment and processing the candidate paragraph and the cached paragraph segment separately based on a determination that the probability is less than a threshold level and processing the candidate paragraph and the cached paragraph segment together as a cross-partition paragraph based on a determination that the probability is greater than the threshold level.

Detecting and processing sections spanning processed document partitions

Partial-image search criteria are derived that include a combination of multiple partial-image user selections of portions of at least one image. Visual search results are returned responsive to a search for images that correspond to the derived partial-image search criteria. The visual search results include at least one identified image that includes features that correspond to the derived partial-image search criteria that include the combination of the multiple partial-image user selections.

Multiple partial-image compositional searching

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Austin, TX, United States of America

Andrew Jason Lavery