Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

By D. Kok, Barbara Plank, Van Noord. 2011

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Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function (2019, methodology): “ACL-IMDB [15] and Elec [8] datasets are for sentiment classification of movie reviews and Amazon product reviews [16] respectively while AG-News [27] and DBpedia [27] are for topic classification of news articles and Wikipedia articles respectively.”
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing (2021, background): “[92], Zhang and Nivre [150]), where NLP researchers or engineers used their domain knowledge to define and extract salient features from raw data and provide models with the appropriate inductive bias to learn from this limited data.”
Debiasing Word Embeddings from Sentiment Associations in Names (2020, background): “• Reviews: This dataset contains 12,500 positive and 12,500 negative movie reviews extracted from the Internet Movie Data Base (IMDB) and is openly available [19].”