Papers by Ruoyu Hu
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering (2021.naacl-demos)
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| Challenge: | Using a node-based framework, knowledge base question answering systems can grasp structural mappings between questions and KB queries. |
| Approach: | They propose a node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question. |
| Outcome: | The proposed framework outperforms the previous SoTA on CCKS CKBQA dataset. |
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding (2022.findings-acl)
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| Challenge: | Task-oriented personal assistants enable people to interact with devices and services using natural language. |
| Approach: | They propose a method to acquire task knowledge in a high-resource language and then transfer it to the low-resourced language(s) they use unlabelled parallel data to perform a quantitative analysis of the methods. |
| Outcome: | The proposed methods exceed state-of-the-art (SOTA) scores across nine languages, fifteen test sets and three benchmark multilingual datasets. |