Papers by Liangliang He

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.
TWEETSUM: Event oriented Social Summarization Dataset (2020.coling-main)

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Challenge: Developing social summarization systems is becoming more and more critical . but, the publicly available and high-quality large scale social summaries are rare .
Approach: They propose to build a social summarization dataset using twitter's hot events . they collect user relations, hashtags and user profiles to evaluate their summarizing methods .
Outcome: The proposed dataset is based on a dataset from twitter with 12 real world hot events with 44,034 tweets and 11,240 users.

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