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09/14/2023
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features
Recent advances in eXplainable AI (XAI) have provided new insights into ...
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08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
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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...
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06/20/2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
Many NLP tasks exhibit human label variation, where different annotators...
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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...
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04/06/2023
Leveraging Social Interactions to Detect Misinformation on Social Media
Detecting misinformation threads is crucial to guarantee a healthy envir...
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01/25/2023
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
We commonly use agreement measures to assess the utility of judgements m...
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12/18/2022
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
Increasingly taking place in online spaces, modern political conversatio...
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11/08/2022
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Pre-trained language models (PLMs) have outperformed other NLP models on...
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11/08/2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Fairness and environmental impact are important research directions for ...
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10/28/2022
"It's Not Just Hate”: A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Well-annotated data is a prerequisite for good Natural Language Processi...
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10/26/2022
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds
The most common ways to explore latent document dimensions are topic mod...
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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...
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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...
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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...
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10/13/2022
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Demographic factors (e.g., gender or age) shape our language. Previous w...
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08/01/2022
On the Limitations of Sociodemographic Adaptation with Transformers
Sociodemographic factors (e.g., gender or age) shape our language. Previ...
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03/17/2022
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
Natural Language Processing (NLP) models risk overfitting to specific te...
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02/24/2022
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender
The world of pronouns is changing. From a closed class of words with few...
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01/26/2022
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
Twitter data have become essential to Natural Language Processing (NLP) ...
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01/19/2022
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts
How much does a CEO's personality impact the performance of their compan...
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12/14/2021
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Labelled data is the foundation of most natural language processing task...
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09/27/2021
Language Invariant Properties in Natural Language Processing
Meaning is context-dependent, but many properties of language (should) r...
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07/07/2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Over the last several years, end-to-end neural conversational agents hav...
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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...
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04/08/2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
Topic models extract meaningful groups of words from documents, allowing...
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03/05/2020
What the [MASK]? Making Sense of Language-Specific BERT Models
Recently, Natural Language Processing (NLP) has witnessed an impressive ...
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12/10/2017
Multi-Task Learning for Mental Health using Social Media Text
We introduce initial groundwork for estimating suicide risk and mental h...
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07/16/2017