摘要（Summarization）是傳統的自然語言處理任務之一[1]，多年以來，一直被廣大研究者持續挖掘推進，該任務旨在將輸入資料轉換為包含關鍵資訊的簡短概述。在早些年，該方向一直以DUC，CNNDM，Gigaword等資料集為核心進行研究[2]，並取得了顯著的進展。為了滿足各種需求，近些年，跨語言摘要[3]，多模態摘要[4]，無監督摘要[5]，摘要事實性研究[6]，對話摘要[7]，科學文獻摘要[8]，基於預訓練的摘要[9]，摘要任務分析[10]等方向噴薄發展，百花齊放，論文數量持續增多，除了各大會議（例如ACL，EMNLP）中的摘要相關論文之外，arXiv也會湧現出眾多摘要相關論文。
受yizhen20133868/NLP-Conferences-Code[11]，teacherpeterpan/Question-Generation-Paper-List[12]，thunlp/PLMpapers[13]，thu-coai/PaperForONLG[14]，NiuTrans/ABigSurvey[15]等專案的激勵，旨在整理現有摘要研究成果，追蹤最新摘要論文，中心文字生成組博士生馮夏衝收集並整理了摘要論文閱讀列表，該列表每條資訊包括論文題目，作者，PDF連結，論文來源，是否有實現程式碼，可以幫助研究者快速整合該方向核心資料，並會長期維護和迭代整理現有論文列表。
https://github.com/xcfcode/Summarization-Papers
參考資料
Paice C D. Constructing literature abstracts by computer: Techniques and prospects[J]. Inf. Process. Manag, 1990, 26(1): 171-186.
[2]Gambhir M, Gupta V. Recent automatic text summarization techniques: a survey[J]. Artificial Intelligence Review, 2017, 47(1): 1-66.
[3]Cao Y, Liu H, Wan X. Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020: 6220-6231.
[4]Li M, Chen X, Gao S, et al. VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles[J]. arXiv preprint arXiv:2010.05406, 2020.
[5]Kohita R, Wachi A, Zhao Y, et al. Q-learning with Language Model for Edit-based Unsupervised Summarization[J]. arXiv preprint arXiv:2010.04379, 2020.
[6]Dong Y, Wang S, Gan Z, et al. Multi-Fact Correction in Abstractive Text Summarization[J]. arXiv preprint arXiv:2010.02443, 2020.
[7]Feng X, Feng X, Qin B, et al. Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks[J]. arXiv preprint arXiv:2010.10044, 2020.
[8]Subramanian S, Li R, Pilault J, et al. On extractive and abstractive neural document summarization with transformer language models[J]. arXiv preprint arXiv:1909.03186, 2019.
[9]Bi B, Li C, Wu C, et al. PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation[J]. arXiv preprint arXiv:2004.07159, 2020.
[10]Bhandari M, Gour P, Ashfaq A, et al. Re-evaluating Evaluation in Text Summarization[J]. arXiv preprint arXiv:2010.07100, 2020.
[11]https://github.com/yizhen20133868/NLP-Conferences-Code
[12]https://github.com/teacherpeterpan/Question-Generation-Paper-List
[13]https://github.com/thunlp/PLMpapers
[14]https://github.com/thu-coai/PaperForONLG
[15]https://github.com/NiuTrans