Assessing and Scoring Difficulty of Hard-to-Solve Data in Summarization Tasks
In recent years, data-driven and machine learning-based natural language processing (NLP) technologies have effectively addressed various challenges. To further enhance the performance of NLP models, it is crucial to understand the types of data that a model can handle well and those it struggles wi...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10806699/ |