Papers by Eun-Sol Kim
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding (2021.findings-emnlp)
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| Challenge: | Existing methods for learning semantic similarity between two English sentences have focused on one sub-task and therefore showed biased performance. |
| Approach: | They propose a method to learn semantic similarity between two English sentences using siamese networks. |
| Outcome: | The proposed method improves on both sub-tasks and predicts similarity scores in 14 languages. |
Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering (2022.acl-long)
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| Challenge: | Existing knowledge-based visual question answering tasks require weak supervision and no visual knowledge. |
| Approach: | They propose a model which encodes high-level semantics of a question and a knowledge base and learns high order associations between them. |
| Outcome: | The proposed model encodes high-level semantics of a question and a knowledge base, and learns high order associations between them. |
Selective Token Generation for Few-shot Natural Language Generation (2022.coling-1)
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| Challenge: | Experimental results show that the proposed selective token generation algorithm outperforms the previous additive learning algorithms based on the PLMs. |
| Approach: | They propose an additive learning algorithm that selectively outputs language tokens between a task-general PLM and a specific adapter during training and inference. |
| Outcome: | The proposed algorithm outperforms existing methods on few-shot natural language generation tasks. |