Well, Stance Detection and Recognizing Textual Entailment (RTE) are crucial tasks in Natural Language Processing, each addressing different objectives. Stance Detection identifies the attitude expressed in a text towards a specific topic, classifying it as in favor, against, or neutral, and is particularly useful in areas like social media analysis and opinion mining. In contrast, RTE determines the logical relationship between two texts, categorizing them as entailment, contradiction, or neutral, which is vital for tasks requiring deep language understanding such as question answering and summarization. While stance detection focuses on sentiment and contextual nuances, RTE requires logical reasoning and semantic analysis. Both tasks, though distinct, are essential for comprehensively understanding and interpreting human language.

I hope you will enriched with this brief feedback!

Hendricks John Mambwe

Hi my friend and thank you for your lovely helpful reply. I appreciate your opinion and ofcourse It's true. I will investigate more for my idea but maybe It's not feasible to do so for getting better model for stance I guess.

Best Regards

Hi, Masoud Sadeghi

Yeah you can investigate more for the best insightful outcomes!