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Found 5 papers, 3 papers with code
Divide and Conquer: From Complexity to Simplicity for Lay Summarization
We describe our approach for the 1st Computational Linguistics Lay Summary Shared Task CL-LaySumm20.
Quantitative Discourse Cohesion Analysis of Scientific Scholarly Texts using Multilayer Networks
We use a publicly available dataset along with a curated set of contrasting examples to validate the proposed metrics by comparing them against select indices computed using existing cohesion analysis tools.
Complex Network based Supervised Keyword Extractor
This shows that the proposed method is independent of the domain, collection, and language of the training corpora.
Semi-automatic System for Title Construction
We further establish empirically that the proposed approach can be applied to any text irrespective of the training domain and corpus.
sCAKE: Semantic Connectivity Aware Keyword Extraction
Combination of the proposed graph construction and scoring methods leads to a novel, parameterless keyword extraction method (sCAKE) based on semantic connectivity of words in the document.
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