关键词: 比较性引文, 可比性评估, 引文生成, 文本生成, 文本分类, 比较对象抽取

Abstract:

To address the two major challenges in comparative citation generation — determining the comparability between papers accurately and generating comparative sentences， a Comparability Assessment （CA） and comparative citation generation method for scientific papers， named SciCACG（Scientific Comparability Assessment and Citation Generation）， was proposed. Three core modules were constructed in the proposed method： a CA module， which was used to determine whether two papers were comparable； a Comparison object Extraction （CE） module， which was employed to extract specific comparison objects from the papers and references， and a comparative citation generation module， which was responsible for generating the corresponding comparative citation sentences. Firstly， the SciBERT （Scientific BERT） model was used to process the two input papers， and the comparability was assessed through the CA module. Then， for papers determined to be comparable， the CE module was used to identify and extract key comparison objects. Finally， the comparative citation generation module was utilized to generate comparative citations containing these objects. Experimental results show that in the CA stage， the proposed method achieves 0.532 in Mean Reciprocal Rank （MRR） and 0.731 in Recall@10 （R@10）， and outperforms the previous SciBERT-FNN （Scientific Bidirectional Encoder Representations from Transformers-Feedforward Neural Network） method on all the datasets； in the comparative citation generation， Compared to the suboptimal BART-Large （Bidirectional and Auto-Progressive Transformers-Large） method， the F1 scores of ROUGE （Recall-Oriented Understudy for Gisting Evaluation）-1， ROUGE-2， and ROUGE-L in the proposed method have increased by 1.90， 1.29， and 2.55 percentage points， respectively. Additionally， the results confirm that the technologies of automated comparison and analysis of scientific literature are crucial for citation sentence generation tasks； particularly， in enhancing the traceability of comparative information and ensuring the comprehensiveness of citation sentences， these technologies demonstrate substantial practical value.

Key words: comparative citation, Comparability Assessment (CA), citation generation, text generation, text classification, Comparison object Extraction (CE)