Papers with BNs
Linguistically-Motivated Yorùbá-English Machine Translation (2022.coling-1)
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| Challenge: | Several phenomena where asymmetry arises have been identified as challenging problems for machine translation. |
| Approach: | They perform a fine-grained analysis of how an SMT system compares with two NMT systems when translating bare nouns into English. |
| Outcome: | The proposed model outperforms the SMT and BiLSTM models for 4 categories and the BiLST outperformed the SLT models for 3 categories. |
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis (2025.coling-main)
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| Challenge: | Existing methods for BN structure learning are limited by the size of the BN. |
| Approach: | They propose a method for Bayesian Networks (BNs) structure elicitation that initializes several LLMs with different experiences and queries them to create a structure. |
| Outcome: | The proposed method performs better than the existing method with one of the three studied LLMs, but the performance decreases with the increase in BN size. |