Papers by Minghui Xie
ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph (2022.emnlp-main)
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| Challenge: | Existing approaches estimate plausibility of candidate choices separately based on their respective KGs, without considering the interference among different choices. |
| Approach: | They propose an Attention guided Commonsense rEasoning Network to integrate hybrid knowledge into the neural network. |
| Outcome: | The proposed model outperforms existing methods on CommonsenseQA and OpenbookQA datasets and shows significant performance gains. |
Siamese Network-Based Supervised Topic Modeling (D18-1)
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| Challenge: | Label-specific topics are widely used for supporting personality psychology, aspectlevel sentiment analysis, and crossdomain sentiment classification. |
| Approach: | They propose a supervised topic model based on the Siamese network which trades off label-specific word distributions with document-specific label distributions in a uniform framework. |
| Outcome: | The proposed model can trade off label-specific word distributions with document-specific label distributions in a uniform framework. |
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question Answering (2022.emnlp-main)
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| Challenge: | Existing methods for multi-hop reasoning in knowledge base question answering are coarse-grained and may bring information loss. |
| Approach: | They propose a sequential reasoning self-attention mechanism to capture the crucial reasoning information of each hop in a more fine-grained way. |
| Outcome: | The proposed model achieves new state-of-the-art Hits@1 of 76.8% on WebQSP and is also effective when KB is incomplete. |