James Cross

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

2020 · arXiv (Cornell University)

Much recent effort has been invested in non-autoregressive neural machine translation, which appears to be an efficient alternative to state-of-the-art autoregressive machine translation on modern GPUs. In contrast to the latter, where generation is sequential, …

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

2016

Parsing accuracy using efficient greedy transition systems has improved dramatically in recent years thanks to neural networks. Despite striking results in dependency parsing, however, neural models have not surpassed stateof-the-art approaches in constituency parsing.