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Word Ordering Without Syntax
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Recent work on word ordering has argued that syntactic structure is important, or even required, for effectively recovering the order of a sentence. We find that, in fact, an n-gram language model with a simple heuristic gives strong results on this task. Furthermore, we show that a long short-term memory (LSTM) language model is even more effective at recovering order, with our basic model outperforming a state-of-the-art syntactic model by 11.5 BLEU points. Additional data and larger beams yield further gains, at the expense of training and search time.
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Cited by 1 Pith paper
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StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Adding word-order and sentence-order reconstruction tasks to BERT pre-training improves performance on GLUE, SNLI, and SQuAD v1.1 benchmarks.
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