Papers by Suchetha Nambanoor Kunnath
Dynamic Context Extraction for Citation Classification (2022.aacl-main)
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| Challenge: | Prior studies have focused on the application of fixed-size contiguous citation contexts or manually curated citation contextual contexts. |
| Approach: | They propose an automated unsupervised approach for the selection of a dynamic-size and potentially non-contiguous citation context based on transformer-based document representations and embedding similarities. |
| Outcome: | The proposed model improves on the domain-specific and multi-disciplinary datasets, irrespective of the dataset's domain. |
ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations (2022.lrec-1)
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| Challenge: | Existing methods for classifying citations rely on bibliometric measures to consider the semantics of citation. |
| Approach: | They propose to use a Citation Context Classification (3C) shared task dataset to classify citations according to their purpose and importance. |
| Outcome: | The proposed model can be used to link research works to graphs and enable efficient knowledge discovery. |