Computational Approaches to Sentence Completion

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Speed regularization and optimality in word classing (2013, methodology): “The second dataset is a sub-sampling of a Wikipedia dump from January 2011, broken down into sentences, with filtering to remove sentences consisting of URLs and Wiki author comments [18].”
Equivariant 3D-conditional diffusion model for molecular linker design (2022, unknown): “Besides standard metrics used in the previous benchmarks, we measure the number of steric clashes between generated linkers and surrounding protein atoms.”
Dependency Recurrent Neural Language Models for Sentence Completion (2015, methodology): “Zweig et al. (2012) reported that RNNs achieve lower perplexity than n-grams but do not always 2, the validation set perplexity (comprising all 5 choices for each sentence) of the RNN keeps decreasing monotonically (once we start annealing the learning rate), whereas the validation accuracy rapidly…”