Patents by Inventor Alfredo Láinez-Rodrigo
Alfredo Láinez-Rodrigo 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: 11941348Abstract: Methods, systems, and computer programs are presented for abstractive summarization of text by viewing sequence transduction as a language modeling problem. One method comprises an operation for training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for the text being summarized. The method further comprises operations for detecting the text to be summarized, initializing the running summary, and performing a plurality of iterations. Each iteration comprises providing, to the machine-learning model, the source text and the running summary, and adding, using the machine-learning model, a new word to the running summary. Further, the method comprises an operation for storing, on a memory, the running summary as the summary of the text.Type: GrantFiled: September 7, 2022Date of Patent: March 26, 2024Assignee: Twilio Inc.Inventors: Luke Percival de Oliveira, Alfredo Láinez Rodrigo
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Publication number: 20240020458Abstract: Methods, systems, and computer programs are presented for formatting raw text. One method includes an operation for accessing raw text comprising words corresponding to one or more sentences. The raw text is lowercase text without any punctuation. Further, the method includes operations for creating a plurality of sub-words corresponding to the raw text, and for generating, by a machine-learning (ML) model, an output for each sub-word based on the created sub-words. The output for each sub-word indicates a formatting operation for the corresponding sub-word. The method further includes an operation for generating, based on the formatting operations in the outputs for the sub-words, formatted text corresponding to the raw text. The formatted text is text with correct grammar, proper punctuation, and proper capitalization according to a meaning of words spoken by a speaker associated with the raw text.Type: ApplicationFiled: September 27, 2023Publication date: January 18, 2024Inventors: Alfredo Láinez Rodrigo, Luke Percival de Oliveira, Umair Akeel, Tyler Cole
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Patent number: 11809804Abstract: Methods, systems, and computer programs are presented for formatting raw text. One method includes an operation for accessing raw text comprising words corresponding to one or more sentences. The raw text is lowercase text without any punctuation. Further, the method includes operations for creating a plurality of sub-words corresponding to the raw text, and for generating, by a machine-learning (ML) model, an output for each sub-word based on the created sub-words. The output for each sub-word indicates a formatting operation for the corresponding sub-word. The method further includes an operation for generating, based on the formatting operations in the outputs for the sub-words, formatted text corresponding to the raw text. The formatted text is text with correct grammar, proper punctuation, and proper capitalization according to a meaning of words spoken by a speaker associated with the raw text.Type: GrantFiled: May 26, 2021Date of Patent: November 7, 2023Assignee: Twilio Inc.Inventors: Alfredo Láinez Rodrigo, Luke Percival de Oliveira, Umair Akeel, Tyler Cole
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Publication number: 20220414319Abstract: Methods, systems, and computer programs are presented for abstractive summarization of text by viewing sequence transduction as a language modeling problem. One method comprises an operation for training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for the text being summarized. The method further comprises operations for detecting the text to be summarized, initializing the running summary, and performing a plurality of iterations. Each iteration comprises providing, to the machine-learning model, the source text and the running summary, and adding, using the machine-learning model, a new word to the running summary. Further, the method comprises an operation for storing, on a memory, the running summary as the summary of the text.Type: ApplicationFiled: September 7, 2022Publication date: December 29, 2022Inventors: Luke Percival de Oliveira, Alfredo Láinez Rodrigo
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Publication number: 20220382959Abstract: Methods, systems, and computer programs are presented for formatting raw text. One method includes an operation for accessing raw text comprising words corresponding to one or more sentences. The raw text is lowercase text without any punctuation. Further, the method includes operations for creating a plurality of sub-words corresponding to the raw text, and for generating, by a machine-learning (ML) model, an output for each sub-word based on the created sub-words. The output for each sub-word indicates a formatting operation for the corresponding sub-word. The method further includes an operation for generating, based on the formatting operations in the outputs for the sub-words, formatted text corresponding to the raw text. The formatted text is text with correct grammar, proper punctuation, and proper capitalization according to a meaning of words spoken by a speaker associated with the raw text.Type: ApplicationFiled: May 26, 2021Publication date: December 1, 2022Inventors: Alfredo Láinez Rodrigo, Luke Percival de Oliveira, Umair Akeel, Tyler Cole
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Patent number: 11475210Abstract: Methods, systems, and computer programs are presented for abstractive summarization of text by viewing sequence transduction as a language modeling problem. One method comprises an operation for training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for the text being summarized. The method further comprises operations for detecting the text to be summarized, initializing the running summary, and performing a plurality of iterations. Each iteration comprises providing, to the machine-learning model, the source text and the running summary, and adding, using the machine-learning model, a new word to the running summary. Further, the method comprises an operation for storing, on a memory, the running summary as the summary of the text.Type: GrantFiled: June 14, 2021Date of Patent: October 18, 2022Assignee: Twilio Inc.Inventors: Luke Percival de Oliveira, Alfredo Láinez Rodrigo
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Publication number: 20220156296Abstract: Methods, systems, and computer programs are presented for searching the content of voice conversations. The conversations are translated into text and analysis of the conversation is performed to identify information in the conversation. The information identified includes turns taking data in the conversation and states identified within each state. A powerful user interface (UI) is provided to review the conversations and add annotations that tag the different turns. Additionally, parameter values are extracted from the text. A powerful search engine is provided with multiple search options, such as searching for text, searching by state within the conversation, searching by parameters extracted from the conversation, or a combination thereof.Type: ApplicationFiled: July 19, 2021Publication date: May 19, 2022Inventors: Luke Percival de Oliveira, Umair Akeel, Alfredo Láinez Rodrigo, Nicolas Acosta Amador, Sahil Kumar, Liat Barda Dremer, Byeongung Ahn, Tyler Cole
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Publication number: 20220156460Abstract: Methods, systems, and computer programs are presented for classifying information in conversations and extracting information from the conversations. An Engagement Intelligence Platform (EIP) analyzes transcripts of conversations to find different states and information associated with each of the states (e.g., identification that the interest rate was quoted, and the quoted value of the interest rate). The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs. Further, the EIP extracts data from the conversation (e.g., the interest rate is “3%”).Type: ApplicationFiled: September 29, 2021Publication date: May 19, 2022Inventors: Alfredo Láinez Rodrigo, Tyler Cole, Umair Akeel, Luke Percival de Oliveira
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Publication number: 20220067269Abstract: Methods, systems, and computer programs are presented for abstractive summarization of text by viewing sequence transduction as a language modeling problem. One method comprises an operation for training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for the text being summarized. The method further comprises operations for detecting the text to be summarized, initializing the running summary, and performing a plurality of iterations. Each iteration comprises providing, to the machine-learning model, the source text and the running summary, and adding, using the machine-learning model, a new word to the running summary. Further, the method comprises an operation for storing, on a memory, the running summary as the summary of the text.Type: ApplicationFiled: June 14, 2021Publication date: March 3, 2022Inventors: Luke Percival de Oliveira, Alfredo Làinez Rodrigo
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Publication number: 20140344015Abstract: The present invention relates to systems and methods for providing personal computing and service provider platforms for enabling a consumer to control and monetize their personal data while managing their online privacy. Business methods utilizing the systems and methods of the present invention resemble those of profit-sharing and asset-sharing paradigms such as cooperatives, and they comprise means for enabling a diverse array of individual subscriber shareholders to receive dividends, share profits and assets, pool resources, and otherwise participate in the ownership of the personal and behavioral data and other content that they generate.Type: ApplicationFiled: May 20, 2014Publication date: November 20, 2014Inventors: José Antonio Puértolas-Montañés, Alfredo Láinez-Rodrigo