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12/14/2022
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
We propose a fully unsupervised method to detect bias in contextualized ...
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05/20/2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
We present a novel approach incorporating transformer-based language mod...
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03/16/2022
Geographic Adaptation of Pretrained Language Models
Geographic linguistic features are commonly used to improve the performa...
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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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04/18/2021
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
The increasing polarization of online political discourse calls for comp...
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04/16/2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
Language use differs between domains and even within a domain, language ...
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01/02/2021
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology
How does the input segmentation of pretrained language models (PLMs) aff...
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10/23/2020
Dynamic Contextualized Word Embeddings
Static word embeddings that represent words by a single vector cannot ca...
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05/02/2020
