BERT (2018): bidirectional pretraining that unified NLP
Devlin et al. released BERT, popularizing language-model fine-tuning via masked LM and next sentence prediction.
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Index of editorial tags and filtered coverage.
Devlin et al. released BERT, popularizing language-model fine-tuning via masked LM and next sentence prediction.
Tomas Mikolov and Google colleagues released Word2Vec, popularizing dense embeddings and king–man+woman≈queen analogies.
IBM’s statistical machine-translation models based on alignments marked NLP’s data-driven turn.
Terry Winograd’s SHRDLU combined parsing, planning, and a micro-world to converse about manipulable blocks.