Papers by Rajat Agarwal
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. |
Acrostic Poem Generation (2020.emnlp-main)
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| Challenge: | Acrostic poems contain a hidden message; typically, the first letter of each line spells out a word or short phrase. |
| Approach: | They propose a task for acrostic poem generation in English with multiple constraints . they define the task as a generation task with multiple constraint constraints based on a conditional neural language model and a neural rhyming model . |
| Outcome: | The proposed task is based on a baseline model and a neural rhyming model. |