Papers by Varun Khurana

2 papers
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.
Synthesizing Human Gaze Feedback for Improved NLP Performance (2023.eacl-main)

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Challenge: Prior work on eye tracking and NLP reveals that human scanpaths can aid in understanding and performance of NLP models.
Approach: They propose a model for generating human scanpaths over text that approximates meaningful cognitive signals in human gaze patterns.
Outcome: The proposed model can approximate meaningful cognitive signals in human gaze patterns.

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