Benjamin Bullough — accepted AI-conference papers

2024

Predicting Entity Salience in Extremely Short Documents

Benjamin Bullough, Harrison Lundberg, Chen Hu, Weihang Xiao

EMNLP 2024industry

A frequent challenge in applications that use entities extracted from text documents is selecting the most salient entities when only a small number can be used by the application (e.g., displayed to a user). Solving this challenge is particularly difficult in the setting of extremely short document…

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2022

AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy

Raphael Petegrosso, VasistaKrishna Baderdinnni, Thibaud Senechal, Benjamin Bullough

NAACL 2022industry

Evaluation of keyword spotting (KWS) systems that detect keywords in speech is a challenging task under realistic privacy constraints. The KWS is designed to only collect data when the keyword is present, limiting the availability of hard samples that may contain false negatives, and preventing dire…

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