International Business Machines Corporation

Microsoft Technology Licensing, LLC

Saravanan Krishnan

Parag Jain

Anirban Laha

Fan Jing Meng

Jia Qi Li

Amith Singhee

Karthik Sankaranarayanan

Sampath Dechu

Senthil Kumar Kumarasamy Mani

Abhijit Mishra

Neelamadhav Gantayat

Saneem Ahmed Chemmengath

David Scott Wenk

Uppinakuduru Raghavendra Udupa

Zhi Shuai Han

Arumugam Kumaran

Rahamim Katan

Vini Kanvar

Raghavendra Udupa U

One embodiment provides a method, including: receiving, from a user, input for generating an article, wherein the input comprises (i) an indication of topic-specific requirements for the article that are dependent upon a topic of the article and (ii) an indication of non-topic-specific requirements for the article that are independent of the topic of the article; creating at least one query from the input; retrieving, from secondary sources by performing a search utilizing the query, structured information contextually relevant to the topic; and from the structured information, generating the article, wherein the article comprises a coherent and grammatically fluid structured article generated in view of the topic-specific requirements and the non-topic-specific requirements.

Structured article generation

A computer-implemented method includes receiving, by a processor, real time operation data related to an application, identifying components of the application based on the operation data, extracting relationships and interdependencies between the components, and generating a graph of the identified components, the relationships and the interdependencies. The method also includes determining one or more dynamic metrics of the identified components, the one or more dynamic metrics indicative of interactions between the components, extracting statistical information describing at least one of performance and resource consumption based on the operation data, incorporating the dynamic metrics into the graph, determining a behavior of at least one component based on a pattern of appearance of the at least one component in the graph, and generating a model of the application based on the identified components and the determined behaviors.

Evaluation of dynamic relationships between application components

Methods, systems and computer program products for natural language context embedding are provided herein. A computer-implemented method includes extracting a document anatomy and document elements from a given structured document, identifying semantic references in the given structured document, and generating an ontology comprising (i) a hierarchy of concepts and (ii) relations connecting the concepts, each concept comprising attributes for a document element. The computer-implemented method also includes generating natural language text context for a given document element by utilizing the ontology to combine (i) attributes of a given concept corresponding to the given document element with (ii) attributes of another concept, the other concept corresponding to another document element, the other concept being connected to the given concept by at least one relation. The computer-implemented method further includes modifying the given structured document by embedding the natural language context with the given document element in the given structured document.

Embedding natural language context in structured documents using document anatomy

Techniques for script modification are provided including receiving a script and parsing the script to identify at least one attribute of the script. The identified at least one attribute is presented to a user in a graphical user interface via a display device and an adjustment of at least one element in the graphical user interface that corresponds to the at least one attribute is received from the user via an input device. Modification data corresponding to the at least one attribute are received from a data repository and at least one attribute of the script is modified based on the received adjustment and the obtained modification data corresponding to the at least one attribute. A modified script is generated based on the modified at least one attribute.

Script modification

A document in a first language and an additional document in a second language may be reviewed. It may be determined if the additional document is sufficiently similar to the document. If the additional document is determined sufficiently similar to the document, a named entity in the document may be selected. The method may search for a similar named entity by comparing the named entity to a word in the additional document and determining if the named entity and word are sufficiently similar. If a similar word to the named entity is located, the named entity and the similar named entities may be stored as name entity transliterations.

Named entity transliteration using comparable CORPRA

An approach is described for using a query expressed in a source language to retrieve information expressed in a target language. The approach uses a translation dictionary to convert terms in the query from the source language to appropriate terms in the target language. The approach determines viable transliterations for out-of-vocabulary (OOV) query terms by retrieving a body of information based on an in-vocabulary component of the query, and then mining the body of information to identify the viable transliterations for the OOV query terms. The approach then adds the viable transliterations to the translation dictionary. The retrieval, mining, and adding operations can be repeated one or more or times.

Mining transliterations for out-of-vocabulary query terms

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Bengaluru, India

Saravanan Krishnan