Papers › A Hierarchical Model for Data-to-Text Generation
A Hierarchical Model for Data-to-Text Generation
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
Transcribing structured data into natural language descriptions has emerged as a challenging task, referred to as "data-to-text". These structures generally regroup multiple elements, as well as their attributes. Most attempts rely on translation encoder-decoder methods which linearize elements into a sequence. This however loses most of the structure contained in the data. In this work, we propose to overpass this limitation with a hierarchical model that encodes the data-structure at the element-level and the structure level. Evaluations on RotoWire show the effectiveness of our model w.r.t. qualitative and quantitative metrics.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Data-to-Text Generation | RotoWire | Hierarchical transformer encoder + conditional copy | BLEU | 17.50 | #2 of 6 | Archive leaderboard | report |
| Data-to-Text Generation | RotoWire (Content Ordering) | Hierarchical Transformer Encoder + conditional copy | BLEU | 17.50 | #1 of 5 | Archive leaderboard | report |
| Data-to-Text Generation | RotoWire (Content Ordering) | Hierarchical Transformer Encoder + conditional copy | DLD | 18.90% | #1 of 5 | Archive leaderboard | report |
| Data-to-Text Generation | RotoWire (Relation Generation) | Hierarchical Transformer Encoder + conditional copy | Precision | 89.46% | #4 of 6 | Archive leaderboard | report |
| Data-to-Text Generation | RotoWire (Relation Generation) | Hierarchical Transformer Encoder + conditional copy | count | 21.17 | #4 of 6 | Archive leaderboard | report |
| Data-to-Text Generation | Rotowire (Content Selection) | Hierarchical Transformer Encoder + conditional copy | Precision | 39.47% | #1 of 5 | Archive leaderboard | report |
| Data-to-Text Generation | Rotowire (Content Selection) | Hierarchical Transformer Encoder + conditional copy | Recall | 51.64% | #1 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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