Papers by Bingzhen Wei

2 papers
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text (L18-1)

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Challenge: ellipsis is a common linguistic phenomenon that some words are left out as they are understood from the context, especially in oral utterance.
Approach: They propose to use a Chinese dependency treebank to facilitate the parsing of web text . they propose to restore omissions and reserve contexts in the web text to improve dependency parsers .
Outcome: The proposed framework enables the parsing of web text from online microblogs.
Imitation Learning for Non-Autoregressive Neural Machine Translation (P19-1)

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Challenge: Existing non-autoregressive translation models lack parallel decoding, which is a bottleneck for NMT decoding.
Approach: They propose a framework for non-autoregressive machine translation that emulates the autoregressive model by sampling sentence length in parallel.
Outcome: The proposed model achieves 31.85 BLEU on WMT16 RoEn and 30.68 BLUE on IWSLT16 EnDe on the IWSLD16, WMT14 and WMT15 datasets.

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