41 citations · 56 across the 5 of their papers we have counts for
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STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp +1
We present Simplified Text-Attributed Graph Embeddings (STAGE), a straightforward yet effective method for enhancing node features in Graph Neural Network (GNN) models that encode…
News Signals: An NLP Library for Text and Time Series
Chris Hokamp, Demian Gholipour Ghalandari, Parsa Ghaffari
We present an open-source Python library for building and using datasets where inputs are clusters of textual data, and outputs are sequences of real values representing one or mor…
360° Stance Detection
Sebastian Ruder, John Glover, Afshin Mehrabani +1
The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360° Stance…
Data Selection Strategies for Multi-Domain Sentiment Analysis
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
Domain adaptation is important in sentiment analysis as sentiment-indicating words vary between domains. Recently, multi-domain adaptation has become more pervasive, but existing a…
Knowledge Adaptation: Teaching to Adapt
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
Domain adaptation is crucial in many real-world applications where the distribution of the training data differs from the distribution of the test data. Previous Deep Learning-base…