NLP-progress

Why we included this project

NLP-progress is a community-maintained index that has tracked the state of the art across dozens of natural language processing tasks for years. For each task, from machine translation and question answering to coreference resolution and semantic parsing, it gathers the key datasets and the best-performing models reported in the literature. That makes it a practical place to check what the current baseline is before you commit to a model or dataset for your own work. Researchers and students can use it to survey a field quickly, and engineers scoping a new NLP feature can shortlist candidate approaches and benchmark datasets from it. It is a curated reference rather than a runnable tool, so treat it as a map and follow the linked papers and repositories for implementation details.