Papers with encoding techniques

2 papers
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization (2021.eacl-main)

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Challenge: Existing studies on redundancy are focused on salience alone.
Approach: They propose to combine salience and novelty to score redundancy in extractive summarization systems . they also propose to balance saliance and redundancies by scoring redundants first .
Outcome: Empirical results show that AREDSUM-CTX scores salience first, then learns to balance saliency and redundancy.
Matching Article Pairs with Graphical Decomposition and Convolutions (P19-1)

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Challenge: Existing methods for matching sentence pairs do not perform well in longer documents . Existing approaches for matching sentences do not work in longer document understanding tasks .
Approach: They propose to model article pairs by comparing sentences that enclose same concept vertex . they propose to use a concept interaction graph to match articles by encoding sentences .
Outcome: The proposed methods show significant improvements over existing methods . the proposed datasets consist of 30K pairs of breaking news articles .

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