This dataset accompanies our ACL 2025 paper: Internal and External Impacts of Natural Language Processing Papers.
We present a comprehensive dataset for analyzing both the internal (academic) and external (public) impacts of NLP papers published in top-tier conferences — ACL, EMNLP, and NAACL — between 1979 and 2024. The dataset supports a wide range of scientometric studies, including topic-level impact evaluation across patents, media, policy, and code repositories.
Data Sources… See the full description on the dataset page: https://huggingface.co/datasets/yuz9yuz/NLPImpact.
