Papers with TNLI
Bilingual Tabular Inference: A Case Study on Indic Languages (2022.naacl-main)
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| Challenge: | Existing studies on Tabular Natural Language Inference (TNLI) focus on monolingual settings where tabular premise and hypothesis are in the same language. |
| Approach: | They propose a task where tabular premise and hypothesis are in two languages . they translate textual hypotheses from an English-indic TNLI dataset into eleven major languages - english and indic . |
| Outcome: | The proposed model performs well on a bilingual dataset in English and in 11 major Indian languages. |
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data (2023.findings-emnlp)
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| Challenge: | Recent benchmarks have assessed language models' numerical abilities . limitations include tokenization and representation of numbers in text, hallucination, and a lack of numerical commonsense knowledge. |
| Approach: | They propose a hierarchical taxonomy for numerical reasoning skills that includes representation, number sense, manipulation, and complex reasoning. |
| Outcome: | The proposed model outperforms other models on the tabular Natural Language Inference task. |