Papers by Mukesh Mohania
SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation (2024.findings-acl)
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| Challenge: | Existing recommendations focus on local context or global context but fail to consider actual human citation behaviour. |
| Approach: | They propose a recommendation architecture that considers both local and global contexts . they use hyperbolic separation to compute query-candidate similarity . |
| Outcome: | The proposed framework performs better on a large dataset with 8.27 million citation contexts . it learns to embed the infused taxonomies in the hyperbolic space and computes similarity . |
Multi-Relational Graph Transformer for Automatic Short Answer Grading (2022.naacl-main)
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| Challenge: | Existing methods for Automatic Short Answer Grading (ASAG) ignore structural context and therefore do not perform well. |
| Approach: | They propose a Multi-Relational Graph Transformer to prepare token representations considering the structural context of a sentence. |
| Outcome: | The proposed model outperforms existing state-of-the-art methods on a dataset from an undergraduate computer science course. |