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Found 4 papers, 1 papers with code
Investigating Annotator Bias in Abusive Language Datasets
A prevalent form of bias in hate speech and abusive language datasets is annotator bias caused by the annotator’s subjective perception and the complexity of the annotation task.
GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts
To unfold the tremendous amount of multimedia data uploaded daily to social media platforms, effective topic modeling techniques are needed.
An Evaluation of Progressive Neural Networksfor Transfer Learning in Natural Language Processing
A major challenge in modern neural networks is the utilization of previous knowledge for new tasks in an effective manner, otherwise known as transfer learning.
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings
With the explosive growth in textual data, it is becoming increasingly important to summarize text automatically.
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