The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with ...

The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with ...

Stanford Dataset for predicting Sentiment from longer Movie Reviews.

8 февр. 2024 г. · We're on a journey to advance and democratize artificial intelligence through open source and open science.

The current state-of-the-art on SST-2 Binary classification is T5-11B. See a full comparison of 87 papers with code.

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Use BiLSTM_attention, BERT, RoBERTa, XLNet and ALBERT models to classify the SST-2 data set based on pytorch. These codes are recommended to run in Google Colab ...

This tutorial demonstrates how to train a text classifier on SST-2 binary dataset using a pre-trained XLM-RoBERTa (XLM-R) model.

In the paper, we used an image classification dataset called Rendered SST2, to evaluate the model's capability on optical character recognition.

We propose a trainable neural network layer that learns a global interaction graph between words and then selects more informative words using the learned word ...