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09/13/2023
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks
Annotators' sociodemographic backgrounds (i.e., the individual compositi...
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05/26/2023
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
Cutting-edge image generation has been praised for producing high-qualit...
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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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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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10/13/2022
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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10/12/2022
Back to the Future: On Potential Histories in NLP
Machine learning and NLP require the construction of datasets to train a...
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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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05/20/2022
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Research on (multi-domain) task-oriented dialog (TOD) has predominantly ...
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04/08/2022
Fair and Argumentative Language Modeling for Computational Argumentation
Although much work in NLP has focused on measuring and mitigating stereo...
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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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10/15/2021
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
Recent work has shown that self-supervised dialog-specific pretraining o...
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09/08/2021
Sustainable Modular Debiasing of Language Models
Unfair stereotypical biases (e.g., gender, racial, or religious biases) ...
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08/13/2021
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
We analyze bias in historical corpora as encoded in diachronic distribut...
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07/01/2021
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
Citation context analysis (CCA) is an important task in natural language...
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07/01/2021
Scientia Potentia Est – On the Role of Knowledge in Computational Argumentation
Despite extensive research in the past years, the computational modeling...
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06/07/2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Text representation models are prone to exhibit a range of societal bias...
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03/11/2021
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
Recent research efforts in NLP have demonstrated that distributional wor...
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11/03/2020
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
Computational models of argument quality (AQ) have focused primarily on ...
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11/03/2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
Recent work has shown that distributional word vector spaces often encod...
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06/01/2020
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing
Argumentative quality is an important feature of everyday writing in man...
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05/25/2020
The OpenCitations Data Model
A variety of schemas and ontologies are currently used for the machine-r...
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05/24/2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
Following the major success of neural language models (LMs) such as BERT...
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05/01/2020
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers
Massively multilingual transformers pretrained with language modeling ob...
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09/13/2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Distributional word vectors have recently been shown to encode many of t...
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09/05/2019
Informing Unsupervised Pretraining with External Linguistic Knowledge
Unsupervised pretraining models have been shown to facilitate a wide ran...
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04/26/2019
