![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
TOKEN Is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models
Transferring knowledge from one domain to another is of practical importance for many tasks in natural language processing, especially when the amount of available data in the target domain is limited. In this...
-
Article
Open AccessEstimating community feedback effect on topic choice in social media with predictive modeling
Social media users post content on various topics. A defining feature of social media is that other users can provide feedback—called community feedback—to their content in the form of comments, replies, and r...
-
Chapter and Conference Paper
Investigating the Impact of Pre-trained Word Embeddings on Memorization in Neural Networks
The sensitive information present in the training data, poses a privacy concern for applications as their unintended memorization during training can make models susceptible to membership inference and attribu...
-
Chapter and Conference Paper
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-Based Detection
Advanced neural language models (NLMs) are widely used in sequence generation tasks because they are able to produce fluent and meaningful sentences. They can also be used to generate fake reviews, which can t...