ML Enabled text summarization
Creating an abstract from claims in patent application is a time-consuming and tedious process, which requires manual effort. Often times, the patent attorney has to go through pages of claims to form 150 words abstract. It’s a monotonous process that has good scope for automation. The time saving achieved from automation can be utilized in more challenging issues. We explored three different models for our project: PageRank, LongShortTerm Memory and Text to text transform transformer(T5). The T5 model has shown the most accurate result so far and helped us in generating meaningful and grammatically correct abstract without any human intervention.
Project sponsored by: Rowantels
Project participants:
Kiranmayi KLC
MSIM
Ridhi Joshi
MSIM
Srishti Tayal
MSIM