Тонкая настройка языковой модели

task ID: languagemodelfinetuning

Related Papers

Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe paper presents Columbia team’s participation in the SemEval 2019 Shared Task 7: RumourEval 2019. Detecting rumour on social networks has been a focus of research in recent years. Previous …...

25518

Large Dataset and Language Model Fun-Tuning for Humor Recognition

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe task of humor recognition has attracted a lot of attention recently due to the urge to process large amounts of user-generated texts and rise of conversational agents. We collected …...

39570

Selecting Informative Contexts Improves Language Model Fine-tuning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractLanguage model fine-tuning is essential for modern natural language processing, but is computationally expensive and time-consuming. Further, the effectiveness of fine-tuning is limited by the inclusion of training examples that …...

8792