Search Results for author: David Ifeoluwa Adelani

Found 8 papers, 3 papers with code

Preventing Author Profiling through Zero-Shot Multilingual Back-Translation

1 code implementation EMNLP 2021 David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow

Documents as short as a single sentence may inadvertently reveal sensitive information about their authors, including e. g. their gender or ethnicity.

Style Transfer Text Style Transfer +1

Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling

no code implementations8 Mar 2021 David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz

A defining feature of social media is that other users can provide feedback -- called community feedback -- to their content in the form of comments, replies, and retweets.

Social and Information Networks

Privacy Guarantees for De-identifying Text Transformations

no code implementations7 Aug 2020 David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow

Machine Learning approaches to Natural Language Processing tasks benefit from a comprehensive collection of real-life user data.

De-identification Dialog Act Classification +4

Robust Differentially Private Training of Deep Neural Networks

1 code implementation19 Jun 2020 Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow

One major drawback of training deep neural networks with DPSGD is a reduction in the model's accuracy.

Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training

no code implementations18 Mar 2020 Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, Vera Demberg

In this work, we develop techniques targeted at bridging the gap between Pidgin English and English in the context of natural language generation.

Data-to-Text Generation Machine Translation +1

Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection

no code implementations22 Jul 2019 David Ifeoluwa Adelani, Haotian Mai, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen

Advanced neural language models (NLMs) are widely used in sequence generation tasks because they are able to produce fluent and meaningful sentences.

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