Text Classification
Categorizing text into predefined classes (sentiment, topic).
Text Classification is a key task in natural language processing. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.
Benchmarks & SOTA
GLUE
General Language Understanding Evaluation
Collection of 9 NLU tasks including sentiment analysis, textual entailment, and question answering. Standard benchmark for general language understanding.
No results tracked yet
SuperGLUE
SuperGLUE
More difficult successor to GLUE with 8 challenging tasks. Designed to be hard for current models.
No results tracked yet
Related Tasks
Language Modeling
Predicting the next word or token in a sequence. Core task for GPT-style models.
Machine Translation
Translating text from one language to another (WMT benchmarks).
Question Answering
Answering questions based on context (SQuAD, Natural Questions).
Named Entity Recognition
Identifying and classifying named entities in text (CoNLL).