Жіктеу деректер жиынтығы
Related Papers
Rationale-Augmented Convolutional Neural Networks for Text Classification
We present a new Convolutional Neural Net- work (CNN) model for text classification that jointly exploits labels on documents and their constituent sentences. Specifically, we con- sider scenarios in which …...
DiscSense: Automated Semantic Analysis of Discourse Markers
AbstractUsing a model trained to predict discourse markers between sentence pairs, we predict plausible markers between sentence pairs with a known semantic relation (provided by existing classification datasets). These predictions …...
Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning
AbstractText classification tends to be difficult when data are inadequate considering the amount of manually labeled text corpora. For low-resource agglutinative languages including Uyghur, Kazakh, and Kyrgyz (UKK languages), in …...
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
AbstractWe study how masking and predicting tokens in an unsupervised fashion can give rise to linguistic structures and downstream performance gains. Recent theories have suggested that pretrained language models acquire …...
Leveraging QA Datasets to Improve Generative Data Augmentation
AbstractThe ability of generative language models (GLMs) to generate text has improved considerably in the last few years, enabling their use for generative data augmentation. In this work, we propose …...