Verizon Laboratories Inc.

Google Inc.

Apple Inc.

Verizon Corporate Services Group Inc.

Jay Michael Ponte

Thorsten Brants

Jayanta Kumar Dey

Peng Xu

Jeffrey Adgate Dean

Franz Josef Och

Alexander Mark Franz

Jeffrey M Getchius

Jeffrey Chin

Daniel Rosart

John S Hawkins

Sha-Mayn Teh

Karel Driesen

Ignacio E Thayer

Anton Carver

Renu Chipalkatti

Matthew Nirvan Sharifi

Sanjay Ghemawat

Samy Bengio

Mehran Sahami

Adam L Berenzweig

Ron J Weiss

Gheorghe Postelnicu

Jason Edward Weston

Ryan Michael Rifkin

Douglas Eck

Vibhu Mittal

Yaniv Bernstein

Thomas Chadwick Walters

Sally A Goldman

Lazar Koyfman

John Abraham Bauer

Geremy A Heitz, Iii

Kai Chen

David A Ross

Amarnag Subramanya

Leonid Lamburt

Rami Al-Rfou′

Fernando Carlos Das Neves Pereira

Steven Kendall Handerson

Jingyi Liu

Khalid Walid Abdel Monem Ashmawy

John Hawkins

John A Bauer

Generating a playlist may include designating a seed track in an audio library; identifying audio tracks in the audio library having constructs that are within a range of a corresponding construct of the seed track, where the constructs for the audio tracks are derived from frequency representations of the audio tracks, and the corresponding construct for the seed track is derived from a frequency representation of the seed track; and generating the playlist using at least some of the audio tracks that were identified.

Generating a playlist

Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Encoding and adaptive, scalable accessing of distributed models

Methods and apparatus consistent with the invention allow a user to submit an ambiguous search query and to receive relevant search results. Queries can be expressed using character sets and/or languages that are different from the character set and/or language of at least some of the data that is to be searched. A translation between these character sets and/or languages can be performed by examining the use of terms in aligned text. Probabilities can be associated with each possible translation. Refinements can be made to these probabilities by examining user interactions with the search results.

Determining corresponding terms written in different formats

Methods and apparatus related to determining coreference resolution using distributed word representations. Distributed word representations, indicative of syntactic and semantic features, may be identified for one or more noun phrases. For each of the one or more noun phrases, a referring feature representation and an antecedent feature representation may be determined, where the referring feature representation includes the distributed word representation, and the antecedent feature representation includes the distributed word representation augmented by one or more antecedent features. In some implementations the referring feature representation may be augmented by one or more referring features. Coreference embeddings of the referring and antecedent feature representations of the one or more noun phrases may be learned. Distance measures between two noun phrases may be determined based on the coreference embeddings.

Iteratively learning coreference embeddings of noun phrases using feature representations that include distributed word representations of the noun phrases

Disclosed are methods and systems for indexing or retrieving materials accessible through computer networks.

Semi-automatic index term augmentation in document retrieval

Systems and methods described herein can assign a confidence score to a match of unstructured descriptive information with structured reference information in a reference database. The systems and methods can take into account the structured nature of the reference information in assigning the score, thereby facilitating increased confidence in the match, and consequently, facilitating improved database organization and content identification.

Systems and methods for information match scoring

Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

Techniques for web site integration

Systems and methods for searching using queries written in a different character-set and/or language from the target pages

A semantic locator determines whether input sequences form semantically meaningful units. The semantic locator includes a coherence component that calculates a coherence of the terms in the sequence and a variation component that calculates the variation in terms that surround the sequence. A heuristics component may additionally refine results of the coherence component and the variation component. A decision component may make the determination of whether the sequence is a semantic unit based on the results of the coherence component, variation component, and heuristics component.

Semantic unit recognition

Growing community of inventors

Burlington, MA, United States of America

Jay Michael Ponte