Papers by Luyu Wang
Learning Robust and Multilingual Speech Representations (2020.findings-emnlp)
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| Challenge: | Unsupervised speech representation learning has shown success at finding representations that correlate with phonetic structures and improve downstream speech recognition performance. |
| Approach: | They evaluate unsupervised speech representation learning representations by looking at their robustness to domain shifts and their ability to improve recognition performance in many languages. |
| Outcome: | The proposed representations improve the recognition performance in 25 phonetically diverse languages and are robust to domain shifts. |
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer (2022.emnlp-main)
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| Challenge: | eschewing separate architecture and training for knowledge-intensive tasks is cumbersome . end-to-end training only based on supervision from the end task is awkward . |
| Approach: | They propose a single Transformer that performs retrieval as attention and end-to-end training solely based on supervision from the end QA task. |
| Outcome: | The proposed model outperforms state-of-the-art retrievers and readers on in-domain datasets. |
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation (2020.findings-emnlp)
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| Challenge: | Multilingual data is more beneficial for NMT models that translate from the LRL to a target language than those that translate into the LLLs. |
| Approach: | They propose a decoder that embeds character n-grams into NMT models that translate from an LRL to a target language. |
| Outcome: | The proposed decoder improves the performance of NMT models that translate from an LRL to a target language. |