Text Generation From Data With Dynamic Planning

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Text Generation From Data With Dynamic Planning

By: 
Sen Yang; Yang Liu; Dawei Feng; Dongsheng Li

Transcribing structural data into readable text (data-to-text) is a fundamental language generation task. One of its challenges is to plan the input records for text realization. Recent works tackle this problem with a static planner, which performs record planning in advance for text realization. However, they cannot revise plans to cope with unexpected realized text and require golden plans for supervised training. To address these issues, we first propose a model that contains a dynamic planner. It decomposes text generation into two alternately procedures, record planning and text realization. We also devise a novel likelihood-driven training strategy for the planner. This strategy exploits sentence likelihood to select input records, which requires no annotated plan. Besides, we design a metric based on the set similarity to evaluate the quality of predicted plans. We conduct comprehensive experiments on two data-to-text datasets, E2E and EPW. Our best model considerably outperforming previous works on both text metrics and plan metrics. The likelihood-driven strategy also exhibits competitiveness for training the dynamic planner.

SPS on Twitter

  • RT : Call for Short Course proposals! in collaboration with the Education Board is planning education… https://t.co/N97XTEgIg8
  • This Wednesday, join the Information Forensics and Security Technical Committee Webinar Series when Dr. Richard Heu… https://t.co/ORdtuq5SlQ
  • Our Biomedical Imaging and Signal Processing Webinar Series continues on Tuesday, 5 July when Michael Unser present… https://t.co/7bYh8ZPHI0
  • Join us TODAY at 11:00 AM ET when the Brain Space Initiative Talk Series continues with Dr. Tianming Liu presenting… https://t.co/MEfnzk6dAE
  • Our 75th anniversary is approaching in 2023, and we're celebrating with a Special Issue of IEEE Signal Processing M… https://t.co/U6UNv8kLSO

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar