Papers by Kartikeya Badola
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction (2022.acl-short)
Copied to clipboard
| Challenge: | Existing benchmarking datasets for multilingual relation extraction have been lacking . |
| Approach: | They propose to use a new benchmark dataset to study multilingual relation extraction task by distant supervision. |
| Outcome: | The proposed task is performed on a multilingual relation extraction dataset using an mBERT encoder. |
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction (2022.acl-short)
Copied to clipboard
| Challenge: | Recent approaches to distantly supervised relation extraction (DS-RE) encode each sentence in an entity-pair bag separately. |
| Approach: | They propose a simple baseline approach where sentences of a bag are concatenated into a passage of sentences and encoded jointly using BERT. |
| Outcome: | The proposed approach outperforms state-of-the-art models in monolingual and multilingual datasets. |
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing approaches to Continual Multilingual Learning (CML) are based on updating models using new data in stages. |
| Approach: | They propose a parameter-efficient finetuning strategy to increase the number of languages on which the model improves after an update while reducing the magnitude of loss for the remaining languages. |
| Outcome: | The proposed model improves on the languages included in the latest update while reducing the loss of performance on the remaining languages. |