Pulse Journal Club Active Debates Trending Explore Questions Researchers

Download the App

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

© Synapse Social LLC, 2026

Home Explore Journal Club Trending

⌘+K

Learning Summary Prior Representation for Extractive Summarization | Synapse

January 1, 2015Open Access

Learning Summary Prior Representation for Extractive Summarization

Key Points

Key points are not available for this paper at this time.

Abstract

Ziqiang Cao, Furu Wei, Sujian Li, Wenjie Li, Ming Zhou, Houfeng Wang. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.

Mark Helpful

Bookmark

Relay

View Full Paper

Mark Helpful

Bookmark

Relay

View Full Paper

Cite This Study

Cao et al. (Thu,) studied this question.

synapsesocial.com/papers/6a0efdf81c5e2d2319fa33ab https://doi.org/https://doi.org/10.3115/v1/p15-2136

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization2015 · 228 citations
2Natural Language Processing (almost) from Scratch2011 · 5,182 citations
3Natural Language Processing (almost) from Scratch2011 · 3,996 citations
4The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries2017 · 2,210 citations
5ROUGE: A Package for Automatic Evaluation of Summaries2004 · 8,311 citations