Linking the Thoughts: Analysis of Argumentation Structures in Scientific Publications
Code (0)
등록된 구현이 없습니다.
Tasks
Information RetrievalSemantic Textual SimilarityText SummarizationSimilar Papers 제목 키워드 기반
An Argument-Annotated Corpus of Scientific Publications
Argumentation is an essential feature of scientific language. We present an annotation study resulting in a corpus of scientific publications annotated with argumentative components and relations. The argumentative annot…
Argument MiningArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing
Argumentation is arguably one of the central features of scientific language. We present \textit{ArguminSci}, an easy-to-use tool that analyzes argumentation and other rhetorical aspects of scientific writing, which we c…
Argument MiningInvestigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Exponential growth in the number of scientific publications yields the need for effective automatic analysis of rhetorical aspects of scientific writing. Acknowledging the argumentative nature of scientific text, in this…
General ClassificationMulti-Task LearningAssessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
How does a cause lead to an effect, and which intermediate causal steps explain their connection? This work scrutinizes the mechanistic causal reasoning capabilities of large language models (LLMs) to answer these questi…
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures
Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, yet their performance is highly dependent on the prompting strategy and model scale. While reinforcement learning and fine-tuning have bee…
Mathematical Problem-Solvingreinforcement-learningReinforcement Learning