Papers › Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
Liang Li, Can Ma, Yinliang Yue, Dayong Hu
Table-to-text generation aims at automatically generating natural text to help people conveniently obtain salient information in tables. Although neural models for table-to-text have achieved remarkable progress, some problems are still overlooked. Previous methods cannot deduce the factual results from the entity{'}s (player or team) performance and the relations between entities. To solve this issue, we first build an entity graph from the input tables and introduce a reasoning module to perform reasoning on the graph. Moreover, there are different relations (e.g., the numeric size relation and the importance relation) between records in different dimensions. And these relations may contribute to the data-to-text generation. However, it is hard for a vanilla encoder to capture these. Consequently, we propose to utilize two auxiliary tasks, Number Ranking (NR) and Importance Ranking (IR), to supervise the encoder to capture the different relations. Experimental results on ROTOWIRE and RW-FG show that our method not only has a good generalization but also outperforms previous methods on several metrics: BLEU, Content Selection, Content Ordering.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
1 archive task tag without a task page not shown.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Data-to-Text Generation | RotoWire | HierarchicalEncoder + NR + IR | BLEU | 17.96 | #1 of 6 | Archive leaderboard | report |
| Table-to-Text Generation | RotoWire | HierarchicalEncoder + NR + IR | Content Ordering | 25.30 | #1 of 1 | Archive leaderboard | report |
| Table-to-Text Generation | RotoWire | HierarchicalEncoder + NR + IR | Content Selection (F1) | 55.88 | #1 of 1 | Archive leaderboard | report |
| Table-to-Text Generation | RotoWire | HierarchicalEncoder + NR + IR | BLEU | 17.96 | #1 of 1 | 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections