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    <abstract>Structured data summarization involves generation of natural language summaries from structured input data. In this work, we consider summarizing structured data occurring in the form of tables as they are prevalent across a wide variety of domains. We formulate the standard table summarization problem, which deals with tables conforming to a single predefined schema. To this end, we propose a mixed hierarchical attention based encoder-decoder model which is able to leverage the structure in addition to the content of the tables. Our experiments on the publicly available weathergov dataset show around 18 BLEU (around 30%) improvement over the current state-of-the-art.</abstract>
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%0 Conference Proceedings
%T A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization
%A Jain, Parag
%A Laha, Anirban
%A Sankaranarayanan, Karthik
%A Nema, Preksha
%A Khapra, Mitesh M.
%A Shetty, Shreyas
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F jain-etal-2018-mixed
%X Structured data summarization involves generation of natural language summaries from structured input data. In this work, we consider summarizing structured data occurring in the form of tables as they are prevalent across a wide variety of domains. We formulate the standard table summarization problem, which deals with tables conforming to a single predefined schema. To this end, we propose a mixed hierarchical attention based encoder-decoder model which is able to leverage the structure in addition to the content of the tables. Our experiments on the publicly available weathergov dataset show around 18 BLEU (around 30%) improvement over the current state-of-the-art.
%R 10.18653/v1/N18-2098
%U https://aclanthology.org/N18-2098
%U https://doi.org/10.18653/v1/N18-2098
%P 622-627

Markdown (Informal)

[A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization](https://aclanthology.org/N18-2098) (Jain et al., NAACL 2018)

• A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization (Jain et al., NAACL 2018)

ACL

• Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, and Shreyas Shetty. 2018. A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 622–627, New Orleans, Louisiana. Association for Computational Linguistics.