Pieces of eight: 8-bit neural machine translation
Jerry Quinn, Miguel Ballesteros
NAACL 2018
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 encoderdecoder 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 (∼ 30%) improvement over the current state-of-the-art.
Jerry Quinn, Miguel Ballesteros
NAACL 2018
Yufang Hou
NAACL 2018
Preksha Nema, Mitesh M. Khapra, et al.
ACL 2017
Parag Jain, Abhijit Mishra, et al.
AAAI 2019