Debora Nozza | DeepAI

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∙ 09/05/2023

Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization

Recent computational approaches for combating online hate speech involve...

0 Helena Bonaldi, et al. ∙

∙ 07/24/2023

Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification

The zero-shot learning capabilities of large language models (LLMs) make...

0 Flor Miriam Plaza-del-Arco, et al. ∙

∙ 05/25/2023

What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns

As 3rd-person pronoun usage shifts to include novel forms, e.g., neopron...

1 Anne Lauscher, et al. ∙

∙ 11/21/2022

Measuring Harmful Representations in Scandinavian Language Models

Scandinavian countries are perceived as role-models when it comes to gen...

2 Samia Touileb, et al. ∙

∙ 11/07/2022

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Machine learning models are now able to convert user-written text descri...

0 Federico Bianchi, et al. ∙

∙ 10/20/2022

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Hate speech is a global phenomenon, but most hate speech datasets so far...

1 Paul Röttger, et al. ∙

∙ 10/14/2022

The State of Profanity Obfuscation in Natural Language Processing

Work on hate speech has made the consideration of rude and harmful examp...

0 Debora Nozza, et al. ∙

∙ 10/13/2022

Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training

Language is constantly changing and evolving, leaving language models to...

0 Giuseppe Attanasio, et al. ∙

∙ 08/02/2022

ferret: a Framework for Benchmarking Explainers on Transformers

Many interpretability tools allow practitioners and researchers to expla...

1 Giuseppe Attanasio, et al. ∙

∙ 06/20/2022

Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models

Hate speech detection models are typically evaluated on held-out test se...

6 Paul Röttger, et al. ∙

∙ 03/17/2022

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Natural Language Processing (NLP) models risk overfitting to specific te...

9 Giuseppe Attanasio, et al. ∙

∙ 09/27/2021

Language Invariant Properties in Natural Language Processing

Meaning is context-dependent, but many properties of language (should) r...

2 Federico Bianchi, et al. ∙

∙ 04/16/2020

Cross-lingual Contextualized Topic Models with Zero-shot Learning

Many data sets in a domain (reviews, forums, news, etc.) exist in parall...

1 Federico Bianchi, et al. ∙

∙ 03/05/2020

What the [MASK]? Making Sense of Language-Specific BERT Models

Recently, Natural Language Processing (NLP) has witnessed an impressive ...

1 Debora Nozza, et al. ∙

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