Google Inc.

Wojciech Gajewski

Matthias Heiler

Thomas Hofmann

Hartmut Maennel

Michael Schaer

Justyna Sidorska

Wei Wang

Massimiliano Ciaramita

Andrea Gesmundo

Dmitry Korolev

Jyrki Alakuijala

Dmity Korolev

Neil Houlsby

Jannis Bulian

Christian Buck

Systems, methods, and computer readable media related to generating query variants for a submitted query. In many implementations, the query variants are generated utilizing a generative model. A generative model is productive, in that it can be utilized to actively generate a variant of a query based on application of tokens of the query to the generative model, and optionally based on application of additional input features to the generative model.

Generating query variants using a trained generative model

Methods, systems, and apparatus, including computer program products, for constructing text classifiers. The method includes receiving a collection of candidate phrases for a given topic; filtering the received candidate phrases to remove erroneously included candidate phrases; assigning weights to the candidate phrases including scoring each candidate phrase using an initial classifier and assigning weights to the candidate phrases based on the scores; and generating a linear classifier using the filtered and weighted candidate phrases, where the linear classifier varies the weights for each phrase candidate depending on the length of the document being classified.

Construction of text classifiers

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Zurich, Switzerland

Wojciech Gajewski