Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

@inproceedings{Nema2018GeneratingDF,
  title={Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization},
  author={Preksha Nema and Shreyas Shetty and Parag Jain and Anirban Laha and Karthik Sankaranarayanan and Mitesh M. Khapra},
  booktitle={NAACL-HLT},
  year={2018}
}
In this work, we focus on the task of generating natural language descriptions from a structured table of facts containing fields (such as nationality, occupation, etc) and values (such as Indian, actor, director, etc). One simple choice is to treat the table as a sequence of fields and values and then use a standard seq2seq model for this task. However, such a model is too generic and does not exploit task-specific characteristics. For example, while generating descriptions from a table, a… CONTINUE READING
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