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Yuanzhe Zhang · Xun Zhao · Maodi Hu · Xi Sun · Donghuan Song · Zhixiong Zhang
Empowering machines to understand scientific literature is crucial for accelerating scientific discovery and advancing the AI for Science (AI4S) paradigm. In this paper, we present a comprehensive survey of datasets serving this domain. We propose a systematic taxonomy that organizes resources sp...
Mengting Zhang · Gaofeng Pan · Zhixiong Zhang · Yang Li · Guangyin Zhang
Scientific opinion classification based on discourse functions provides a structured semantic basis for analytical tasks such as gap identification and hypothesis generation. However, this task is uniquely challenged by the multi-label nature of scientific expressions and AIMRaD structural constr...
Yang Li · Yajiao Wang · Yu Zhang · Yuanzhe Zhang · Maodi Hu · Mengting Zhang · Xi Sun · Hua Yue · Zhixiong Zhang
Scientific information extraction (SciIE) is a key bottleneck for turning unstructured papers into computable knowledge bases, yet most existing systems still follow a “local extraction then global assembly” paradigm. This workflow is inherently lossy: by extracting fields in isolation, it breaks...