Papers Fact-Claiming Comment Classification
“Fact-Claiming Comment Classification” 태그가 달린 논문 3편 · 필터 해제
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
2021-09-07 · GermEval 2021 9
· Tobias Bornheim, Niklas Grieger, Stephan Bialonski
The availability of language representations learned by large pretrained neural network models (such as BERT and ELECTRA) has led to improvements in many downstream Natural Language Processing tasks in recent years. Pret…
Classification of toxic, engaging, fact-claiming commentsEngaging Comment ClassificationEnsemble LearningFact-Claiming Comment Classification+1UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers
2021-09-01 · GermEval 2021 9
· Robin Schaefer, Manfred Stede
In this paper we present UPAppliedCL’s contribution to the GermEval 2021 Shared Task. In particular, we participated in Subtasks 2 (Engaging Comment Classification) and 3 (Fact-Claiming Comment Classification). While acc…
ClassificationEngaging Comment ClassificationFact-Claiming Comment ClassificationHunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification
2021-09-01 · GermEval 2021 9
· Subhadarshi Panda, Sarah Ita Levitan
In this paper we investigate the efficacy of using contextual embeddings from multilingual BERT and German BERT in identifying fact-claiming comments in German on social media. Additionally, we examine the impact of form…
Fact-Claiming Comment ClassificationMulti-Task Learning
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