International Business Machines Corporation

Purushothaman Kunnath Narayanan

Ashish Mungi

Ankur Parikh

Chinnappa Guggilla

Bijo A Thomas

Krishma Singla

Kumar Mani

Hema Venkata

Lalit Agarwalla

Sujoy Sett

Rizwan Dudekula

Senthil Kumar Thiagarajan

Chandrajit Choudhury

A method for narrating a table using at least one narration template, wherein the table is extracted from a data source is provided. The method may also include performing structural analysis on the extracted table. The method may further include selecting a structural template based on the structural analysis of the extracted table. Additionally, the method may include selecting a narration template based on the selected structural template. The method may further include narrating the extracted table based on the selected narration template and displaying a narrative output of the extracted table.

Table narration using narration templates

One or more table content documents (TCDs) can be constructed for a set of tabular data or portion thereof. A set of query features corresponding to a question can be matched to one or more TCDs. A respective candidate answer can be generated for each of the one or more TCDs having a set of features matching the set of query features above a threshold. Zero or more candidate answers can be output to a user consumable data object.

Tabular data compilation

A method, computer system, and a computer program product for identifying sections in a document based on a plurality of visual features is provided. The present invention may include receiving a plurality of documents. The present invention may also include extracting a plurality of content blocks. The present invention may further include determining the plurality of visual features. The present invention may then include grouping the extracted plurality of content blocks into a plurality of categories. The present invention may also include generating a plurality of closeness scores for the plurality of categories by utilizing a Visual Similarity Measure. The present invention may further include generating a plurality of Association Matrices on the plurality of categories for each of the received plurality of documents based on the Visual Similarity Measure. The present invention may further include merging the plurality of categories into a plurality of clusters.

Using visual features to identify document sections

A computer system for narrating a table using at least one narration template, wherein the table is extracted from a data source is provided. The computer system may include parsing the extracted table. The computer system may also include performing structural analysis on the parsed extracted table. The computer system may further include selecting at least one structural template based on the structural analysis of the parsed extracted table. Additionally, the computer system may include selecting the at least one narration template based on the at least one selected structural template. The computer system may also include applying the at least one selected narration template to the extracted table. The computer system may further include narrating the extracted table based on the applying of the at least one selected narration template to the extracted table.

A method for narrating a table using at least one narration template, wherein the table is extracted from a data source is provided. The method may include parsing the extracted table. The method may also include performing structural analysis on the parsed extracted table. The method may further include selecting at least one structural template based on the structural analysis of the parsed extracted table. Additionally, the method may include selecting the at least one narration template based on the at least one selected structural template. The method may also include applying the at least one selected narration template to the extracted table. The method may further include narrating the extracted table based on the applying of the at least one selected narration template to the extracted table.

A method of locating preferred services includes searching an augmented spatial index, which is based on a user's determined preferred services. Additionally, the method includes indicating a location of a currently-sought preferred service.

System and method for preferred services in nomadic environments

A method and product for modeling and managing requirements in a complex integrated system, which comprises creating a set of requirements which can be implemented within all the components of the complex integrated system. Each requirement may be characterized as a point on the circumference of a circle, the characterization being an assignment of a requirement type. This type determines which circle the point will be located on, assigning a unique immutable numerical value to each requirement that determines in which order the point is placed on the previously determined circle. A location is also determined for each requirement. The location may determine the position of the requirement in relation to other requirements on the circumference of one of the set of circles. Sectors are also formed within the set of circles, as a function of a set of architectural principles and interfaces are identified between points, represented as chords.

Growing community of inventors

Bengaluru, India

Purushothaman Kunnath Narayanan