Papers › Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation

Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation

1 Aug 2021ACL 2021 5archive 2025-07-28

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.

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liang8qi/data2textwithauxiliarysupervision officialmentioned in paperpytorch report

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Tasks

Data-to-Text GenerationTable-to-Text GenerationText Generation

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Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
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

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