Negation
149 papers with code • 1 benchmarks • 1 datasets
Libraries
Use these libraries to find Negation models and implementationsMost implemented papers
Explanation by Progressive Exaggeration
As machine learning methods see greater adoption and implementation in high stakes applications such as medical image diagnosis, the need for model interpretability and explanation has become more critical.
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
We find that PLMs do not distinguish between negated ("Birds cannot [MASK]") and non-negated ("Birds can [MASK]") cloze questions.
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
We propose SentiBERT, a variant of BERT that effectively captures compositional sentiment semantics.
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
The majority of work in targeted sentiment analysis has concentrated on finding better methods to improve the overall results.
Composing Parameter-Efficient Modules with Arithmetic Operations
In this paper, we propose to compose these parameter-efficient modules through linear arithmetic operations in the weight space, thereby integrating different module capabilities.
Visualizing and Understanding Neural Models in NLP
While neural networks have been successfully applied to many NLP tasks the resulting vector-based models are very difficult to interpret.
Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
A recommender system's basic task is to estimate how users will respond to unseen items.
Pragmatic factors in image description: the case of negations
We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses.