Papers by Lya Hulliyyatus Suadaa
Towards Table-to-Text Generation with Numerical Reasoning (2021.acl-long)
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| Challenge: | Recent studies have shown improvement in generating descriptive text from structured data. |
| Approach: | They propose a framework for numerical table-to-text generation based on numerical reasoning . they use a pre-trained model and a copy mechanism to fine-tune the models to produce fluent text . |
| Outcome: | The proposed framework lacks fidelity to the table contents and is based on a pre-trained model and a copy mechanism. |
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers (2021.eacl-main)
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| Challenge: | Numerical tables are used to present experimental results in scientific papers. |
| Approach: | They propose a task to extract metric-types from multi-level header numerical tables . they propose two joint-learning neural classification and generation schemes . |
| Outcome: | The proposed models handle in-header and out-of-headers metric-type identification problems. |