Papers by Bin Ni
A Unified Speaker Adaptation Approach for ASR (2021.emnlp-main)
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| Challenge: | Adapting a model to target speakers requires a lot of compute and may cause catastrophic forgetting to the existing speakers. |
| Approach: | They propose a unified speaker adaptation approach consisting of feature adaptation and model adaptation. |
| Outcome: | The proposed model outperforms baseline models with 20.58% relative WER reduction and surpasses finetuning method by 2.54% on target speaker adaptation. |
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models (2023.findings-acl)
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| Challenge: | Existing methods to construct knowledge graphs are limited to a small set of relations due to manual cost or restrictions in text corpus. |
| Approach: | They propose to automatically construct knowledge graphs (KGs) of diverse new relations from pretrained language models that accept knowledge queries with prompts. |
| Outcome: | The proposed framework extracts knowledge of over 400 new relations from pretrained language models, including RoBERTaNet, with minimal input of a relation definition and a few shot of example entity pairs. |