公开(公告)号：US20210357443A1

公开(公告)日：2021-11-18

申请号：US17319635

申请日：2021-05-13

Applicant: Tata Consultancy Services Limited

Inventor： Mrinal RAWAT ,  Lovekesh VIG ,  Amit SANGROYA ,  Gautam SHROFF

IPC: G06F16/34 ,  G06F40/177 ,  G06N20/00

Abstract: This disclosure relates generally to methods and systems for generating a textual summary from a tabular data. During the textual summary generation using conventional end-to-end neural network-based techniques, a numeric data present in the tables is encoded via textual embeddings. However, the textual embeddings cannot reliably encode information about numeric concepts and relationships. The methods and systems generate the textual summary from the tabular data, by incorporating rank information for different records present in the tabular data. Then, a two-stage encoder-decoder network is used to learn correlations between the rank information and the probability of including the records based on the rank information, to obtain the textual summary generation model. The textual summary generation model identifies the content selection having the records present in the tables to be included in the textual summary and generates the textual summary from the identified content selection.