Patents by Inventor Krishna Sravanthi
Krishna Sravanthi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12147420Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and execute functions comprising: storing historical session data pertaining to user sessions and archived search queries submitted by users to a search engine; analyzing the historical session data to identify ambiguous queries, including semantically ambiguous queries and multi-language queries; monitoring search queries submitted to the search engine to detect the ambiguous queries; and in response to detecting an ambiguous query, generating a query resolution interface that displays categorical groupings, each of which corresponds to a possible intention of the ambiguous query. Other embodiments are disclosed herein.Type: GrantFiled: January 31, 2022Date of Patent: November 19, 2024Assignee: WALMART APOLLO, LLCInventors: Leonardo Lezcano, Vachik Shailesh, Krishna Sravanthi, Ciya Liao, Pankaj Adsul, Rajyashree Mukherjee
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Publication number: 20240256532Abstract: A method can include determining, via a translatability classifier module, a translatability class label for a cross-lingual search query received, via a computer network, from a user device for a user. The translatability classifier module can be trained to determine the translatability class label among multiple translatability class labels associated with user intentions for the cross-lingual search query based on a respective probability of the cross-lingual search query being associated with each of the multiple translatability class labels. The method further can include determining, via a language translator module, a class-associated search query for the cross-lingual search query based on the translatability class label, as determined. The method additionally can include transmitting, via the computer network, the class-associated search query to a monolingual search engine. Other embodiments are disclosed.Type: ApplicationFiled: January 31, 2023Publication date: August 1, 2024Applicant: Walmart Apollo, LLCInventors: Leonardo Lezcano, Pankaj Appasaheb Adsul, Jesus Perez Martin, Jorge Gomez Robles, Krishna Sravanthi Rajanala Sai, Ciya Liao
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Publication number: 20240256587Abstract: A method can include determining a translatability class label and a class-associated search query for a cross-lingual search query. Determining the translatability class label and the class-associated search query can include determining whether a first class-translation pair for the cross-lingual search query exists in a memory module. If the first class-translation pair exists in the memory module, the method further can include retrieving the first class-translation pair for the cross-lingual search query from the memory module. When no class-translation pair for the cross-lingual search query exists in the memory module, the method additionally can include: determining the translatability class label, and determining the class-associated search query based on the translatability class label.Type: ApplicationFiled: January 31, 2023Publication date: August 1, 2024Applicant: Walmart Apollo, LLCInventors: Leonardo Lezcano, Pankaj Appasaheb Adsul, Jesus Perez Martin, Jorge Gomez Robles, Krishna Sravanthi Rajanala Sai, Ciya Liao
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Publication number: 20230281194Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and execute functions comprising: storing historical session data pertaining to user sessions and archived search queries submitted by users to a search engine; analyzing the historical session data to identify ambiguous queries, including semantically ambiguous queries and multi-language queries; monitoring search queries submitted to the search engine to detect the ambiguous queries; and in response to detecting an ambiguous query, generating a query resolution interface that displays categorical groupings, each of which corresponds to a possible intention of the ambiguous query. Other embodiments are disclosed herein.Type: ApplicationFiled: January 31, 2022Publication date: September 7, 2023Applicant: Walmart Apollo, LLCInventors: Leonardo Lezcano, Vachik Shailesh, Krishna Sravanthi, Ciya Liao, Pankaj Adsul, Rajyashree Mukherjee
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Patent number: 11200269Abstract: Examples of the present disclosure describe systems and methods relating to generating relevance scores for one or more words of a passage which is an answer to a natural language query. For instance, a passage extracted from a highly relevant electronic file along with the query may encoded and augmented to generate a multi-dimensional, augmented semantic vectors using recurring neural networks. The augmented semantic vectors along with a multi-dimensional vector that represent words of the passage may be decoded to generate relevance scores for one or more words of the passage, based on levels of relevance to the query.Type: GrantFiled: June 15, 2017Date of Patent: December 14, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Qifa Ke, Frank Torsten Bernd Seide, Qi Liu, Rajanala Sai Krishna Sravanthi
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Patent number: 10169453Abstract: A summary of a document is generated in near real time. In aspects, an indication to summarize the document is received and the document is processed to generate a summary. For instance, processing includes extracting sentences from the document and generating a plurality of candidate passages from the extracted sentences. Features are extracted from each of the plurality of candidate passages and each candidate passage is ranked based at least in part on the extracted features. High-ranking candidate passages are considered likely to be important and/or representative of the document. A summary of the document is generated including one or more of the high-ranking candidate passages. The summary includes portions of the document that are considered important and/or representative of the document, so a user may review the summary in lieu of reading the entire document.Type: GrantFiled: March 28, 2016Date of Patent: January 1, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Gang Luo, Qi Liu, Krishna Sravanthi Rajanala Sai, Dario Bigongiari, Qifa Ke, Oana Diana Nicolov, Srinivas Vadrevu
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Publication number: 20180365321Abstract: Examples of the present disclosure describe systems and methods relating to generating relevance scores for one or more words of a passage which is an answer to a natural language query. For instance, a passage extracted from a highly relevant electronic file along with the query may encoded and augmented to generate a multi-dimensional, augmented semantic vectors using recurring neural networks. The augmented semantic vectors along with a multi-dimensional vector that represent words of the passage may be decoded to generate relevance scores for one or more words of the passage, based on levels of relevance to the query.Type: ApplicationFiled: June 15, 2017Publication date: December 20, 2018Applicant: Microsoft Technology Licensing, LLCInventors: Qifa KE, Frank Torsten Bernd SEIDE, Qi LIU, Rajanala Sai Krishna SRAVANTHI
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Publication number: 20170277668Abstract: A summary of a document is generated in near real time. In aspects, an indication to summarize the document is received and the document is processed to generate a summary. For instance, processing includes extracting sentences from the document and generating a plurality of candidate passages from the extracted sentences. Features are extracted from each of the plurality of candidate passages and each candidate passage is ranked based at least in part on the extracted features. High-ranking candidate passages are considered likely to be important and/or representative of the document. A summary of the document is generated including one or more of the high-ranking candidate passages. The summary includes portions of the document that are considered important and/or representative of the document, so a user may review the summary in lieu of reading the entire document.Type: ApplicationFiled: March 28, 2016Publication date: September 28, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Gang Luo, Qi Liu, Krishna Sravanthi Rajanala Sai, Dario Bigongiari, Qifa Ke, Oana Diana Nicolov, Srinivas Vadrevu