International Business Machines Corporation

Samir Katti

Vaibhav Murlidhar Kulkarni

Mohan Nagraj Dani

Gopikrishnan Varadarajulu

Padmanabhan Krishnan

Rakhi S Arora

Raviprasad Pentakota

Harshavardhan Changappa

Ramesh G Srinivasan

Embodiments for analyzing language content are provided. An ambiguous sentence is identified. A first word and a second word within the ambiguous sentence are selected. At least one synonym outlier for the first word and at least one synonym outlier for the second word are determined. A phrase is generated utilizing the at least one synonym outlier for the first word and the at least one synonym outlier for the second word. A context for the ambiguous sentence is determined based on the generated phrase.

Methods and systems for improving language processing for ambiguous instances

Textual masking for multiparty computation is provided. The method comprises receiving masked input data from a number of contributors, wherein the input data from each contributor has a unique contributor mask value. A unique analyst mask factor is received for each contributor, computed by an analyst as a difference between a uniform analyst mask value and the contributor mask value. An API call is received from the analyst to aggregate the input data from the contributors. The respective analyst mask factors are added to the input data from the contributors, and the data is aggregated and shuffled. Computational results received from the analyst based on the aggregated input data are published. In response to API calls from the contributors, the analyst mask factors are removed from the computational results, wherein computational results received by each contributor are masked only by the respective contributor mask value.

Masking text data for secure multiparty computation

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Bengaluru, India

Samir Katti