• Swapnali Nilesh Jadhav
• Mandar Sandip Kulkarni

The field of multi-document summarization has witnessed notable advancements, focusing on enhancing the efficiency and informativeness of summarization systems. In this context, our proposed approach, "Abstractive Multi-Document Summarization based on Semantic Link Network," introduces a novel methodology that leverages the Semantic Link Network (SLN) for semantic representation and summarization. The key objective is transforming documents into a semantically rich SLN of concepts and events, enabling a more nuanced understanding of document semantics. By summarizing of this SLN, we aim to generate coherent and concise text summaries. Our approach capitalizes on the advantages offered by SLN, such as semantic richness, interpretability, and controllability. The representation of documents through SLN facilitates the effective identification of co-referent events and concepts, leading to the reduction of redundancy in summaries. The proposed methodology is empirically validated through experiments conducted on benchmark datasets, demonstrating its superiority over extractive and abstractive baselines. The positive outcomes signify the effectiveness of our approach in capturing the core information of multi-document sets. This paper contributes to the field by presenting a systematic and transparent methodology for abstractive multi-document summarization, showcasing the potential of semantic link networks in advancing summarization techniques.

Multi-document Summarization, Query-Focused Summarization, Abstractive Summarization, Semantic Link Network (SLN), Co-reference Resolution, Natural Language Processing (NLP), Reinforcement Ranking, ROUGE Metrics, Integer Linear Programming (ILP).

"Abstractive Multi-Document Summarization based on Semantic Link Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.e398-e404, December-2024, Available :http://www.jetir.org/papers/JETIR2412444.pdf

"Abstractive Multi-Document Summarization based on Semantic Link Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppe398-e404, December-2024, Available at : http://www.jetir.org/papers/JETIR2412444.pdf