Papers with interpretation quality
Barriers to Effective Evaluation of Simultaneous Interpretation (2024.findings-eacl)
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| Challenge: | Existing studies have relied on out-of-the-box machine translation metrics to evaluate interpretation data, but they do not account for human judgments of interpretation quality. |
| Approach: | They propose to use machine translation metrics to evaluate human interpretations to address potential barriers to disfluency, summarization, paraphrasing and segmentation. |
| Outcome: | The proposed model achieves better correlation with human judgments than state-of-the-art metrics. |
Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation (2025.acl-long)
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| Challenge: | a novel framework for automated legal interpretation is proposed to alleviate the burden on legal experts. |
| Approach: | They propose a framework for automated legal interpretation that uses large language models to extract concept-related information and interpret legal concepts. |
| Outcome: | The proposed framework eliminates the need for legal experts to interpret legal concepts . it uses large language models to extract concept-related information and interpret legal concept interpretations . |
MPII: Multi-Level Mutual Promotion for Inference and Interpretation (2022.acl-long)
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| Challenge: | Existing methods for providing interpretations provide human-unfriendly interpretations, resulting in sub-optimal performance. |
| Approach: | They propose a multi-level Mutual Promotion mechanism for self-evolved inference and sentence-level interpretation that integrates inference with interpretation in an autoregressive manner. |
| Outcome: | The proposed approach outperforms baseline models on NLI and CQA tasks for both inference performance and interpretation quality. |