Natural Language Processing
Text Summarization
Generating concise summaries of longer documents (CNN/DailyMail, XSum).
1 datasets0 results
Text Summarization 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
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).
Text Classification
Categorizing text into predefined classes (sentiment, topic).