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Found 4 papers, 2 papers with code
Automatic Recognition of Learning Resource Category in a Digital Library
Digital libraries often face the challenge of processing a large volume of diverse document types.
Document Image Classification
Optical Character Recognition (OCR)
Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings
On the new MixSub dataset, where only the abstract is the input, our proposed model (when trained on the whole training corpus without distinguishing between the subject categories) achieves ROUGE-1, ROUGE-2 and ROUGE-L F1-scores of 31. 78, 9. 76 and 29. 3, respectively, METEOR score of 24. 00, and BERTScore F1 of 85. 25.
SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers
Keyphrases in a research paper succinctly capture the primary content of the paper and also assist in indexing the paper at a concept level.
Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data
In the biomedical literature, it is customary to structure an abstract into discourse categories like BACKGROUND, OBJECTIVE, METHOD, RESULT, and CONCLUSION, but this segmentation is uncommon in other fields like computer science.
