The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table. To deal with rare words appearing in a table, we develop a flexible copying mechanism that selectively replicates contents from the table in the output sequence.
May 29, 2018
In this paper, we present a generative model to generate a nat- ural language sentence describing a table region, e.g., a row.
Mar 15, 2023 · The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table.
A generative model to generate a natural language sentence describing a table region, e.g., a row, and a flexible copying mechanism that selectively ...
Table-to-Text: Describing Table Region with Natural Language, author={Junwei Bao and Duyu Tang and Nan Duan and Zhao Yan and Yuanhua Lv and Ming Zhou and ...
In this paper, we present a generative model to generate a natural language sentence describing a table region, e.g., a row. The model maps a row from a ...
Feb 2, 2018 · The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table.
Extracts a table based on your natural-language description of the data you want to extract. This method can extract tables that span multiple pages.
Table-to-Text: Describing Table Region with Natural Language https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16138. Learning to generate one ...
Generating texts from structured data (e. g., a table) is important for various natural language processing tasks such as question answering and dialog systems.
Missing: Region | Show results with:Region