Negation

149 papers with code • 1 benchmarks • 1 datasets

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Use these libraries to find Negation models and implementations

Datasets


Most implemented papers

Explanation by Progressive Exaggeration

batmanlab/Explanation_by_Progressive_Exaggeration ICLR 2020

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

facebookresearch/LAMA ACL 2020

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

WadeYin9712/SentiBERT ACL 2020

We propose SentiBERT, a variant of BERT that effectively captures compositional sentiment semantics.

Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification

jerbarnes/multitask_negation_for_targeted_sentiment NAACL 2021

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

sjtu-lit/pem_composition 26 Jun 2023

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

phnk/D7047E NAACL 2016

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

pushpakrajgautam/DateGenWeb 11 Nov 2015

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

evanmiltenburg/annotating-negations WS 2016

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.