Machine Learning-based Argument Component Segmentation
- Author(s):
- Ghosh, Debanjan
- Patent Issued:
- Mar 11, 2025
- Patent Number:
- 12,249,252
- Source:
- ETS Patent
- Document Type:
- Patent
- Family ID:
- 94878787
- Subject/Key Words:
- Patent, Active Patent, Machine Learning, Automated Text Analysis, Classification
Abstract
Data is received that includes a passage of text generated in response to a prompt which comprises a plurality of sentences. Thereafter, the passage of text is tokenized into a plurality of tokens each corresponding to a different word in the passage of text. A first classification head of an adaptive fine-tuned transforms classifies each of the tokens into one of a plurality of classes. A second classification head of the adaptive fine-tuned transformer model classifies each of the sentences as either including or not including an argument. Data can then be provided which characterizes the first and second classifications. Related apparatus, systems, techniques and articles are also described.