Papers by Pancheng Wang

2 papers
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View (2022.coling-1)

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Challenge: Multi-Document Scientific Summarization (MDSS) aims to produce concise and concise summaries for clusters of topic-relevant scientific papers.
Approach: They propose a model that incorporates knowledge graphs into paper encoding and decoding processes and propose 'decoder' for generating knowledge graph information of summary in the form of descriptive sentences.
Outcome: The proposed architecture improves on baselines on the Multi-Xscience dataset.
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines (2024.lrec-main)

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Challenge: Existing citation recommendation systems aim to recommend a list of scientific papers for a given text context or a draft paper.
Approach: They propose a task of Recommending Missed Citations Identified by Reviewers to help improve citations of full papers.
Outcome: The proposed framework outperforms existing methods in all metrics and will motivate future research on this challenging task.

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