{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:27:38Z","timestamp":1763468858931,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61936008"],"award-info":[{"award-number":["61936008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"DOI":"10.1145\/3578741.3578752","type":"proceedings-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T04:18:52Z","timestamp":1678162732000},"page":"54-58","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Faster Method For Generating Chinese Text Summaries-Combining Extractive Summarization And Abstractive Summarization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3674-0428","authenticated-orcid":false,"given":"Wenchuan","family":"Yang","sequence":"first","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0371-0780","authenticated-orcid":false,"given":"Tianyu","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5125-1198","authenticated-orcid":false,"given":"Runqi","family":"Sui","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2023,3,6]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Interpreting TF-IDF term weights as marking relevance decisions","author":"Ho Chung Wu","year":"2008","unstructured":"Ho Chung Wu ,Roberta Wing Pong Lunk, Interpreting TF-IDF term weights as marking relevance decisions , 2008 . Ho Chung Wu,Roberta Wing Pong Lunk,et al. Interpreting TF-IDF term weights as marking relevance decisions, 2008."},{"key":"e_1_3_2_1_2_1","volume-title":"Attention Is All You Need","author":"Ashish V","year":"2017","unstructured":"Ashish V , Noam S , Niki P , Attention Is All You Need , 2017 . Ashish V,Noam S,Niki P,et al. Attention Is All You Need, 2017."},{"key":"e_1_3_2_1_3_1","unstructured":"Chin-Yew Lin A Package for Automatic Evaluation of Summaries 2004.  Chin-Yew Lin A Package for Automatic Evaluation of Summaries 2004."},{"key":"e_1_3_2_1_4_1","unstructured":"Wojciech Zaremba Hya Sutskever etal Recall-oriented understudy for gisting evaluation 2019.  Wojciech Zaremba Hya Sutskever et al Recall-oriented understudy for gisting evaluation 2019."},{"key":"e_1_3_2_1_5_1","unstructured":"Jacob Devlin Ming-Wei Chang etal BERT:Pre-training of Deep Bidirectional Transformers for language Understanding 2018.  Jacob Devlin Ming-Wei Chang et al BERT:Pre-training of Deep Bidirectional Transformers for language Understanding 2018."},{"key":"e_1_3_2_1_6_1","volume-title":"Graph-based Lexical Centrality as Salience in Text Summarization","author":"Mihalcea P","year":"2004","unstructured":"R Mihalcea , P Tarau ,et al, LexRank : Graph-based Lexical Centrality as Salience in Text Summarization , 2004 . R Mihalcea,P Tarau,et al,LexRank: Graph-based Lexical Centrality as Salience in Text Summarization, 2004."},{"key":"e_1_3_2_1_7_1","unstructured":"Junqiu Wei Xiaozhe Ren etal NEZHA:Neural Contextualized Representation for Chinese Language Understanding 2019.  Junqiu Wei Xiaozhe Ren et al NEZHA:Neural Contextualized Representation for Chinese Language Understanding 2019."},{"key":"e_1_3_2_1_8_1","unstructured":"Paulius Micikevicius Sharan Narang etal Mixed Precision Training 2017.  Paulius Micikevicius Sharan Narang et al Mixed Precision Training 2017."},{"key":"e_1_3_2_1_9_1","unstructured":"Yang You Jing Li etalLarge Batch Optimization For Deep Learning Training BERT in 76 minutes 2019.  Yang You Jing Li et al.Large Batch Optimization For Deep Learning Training BERT in 76 minutes 2019."},{"key":"e_1_3_2_1_10_1","unstructured":"Jonas Gehring Michael Auli etal Convolutional Sequence to Sequence Learning 2017.  Jonas Gehring Michael Auli et al Convolutional Sequence to Sequence Learning 2017."},{"key":"e_1_3_2_1_11_1","unstructured":"Kaiming He Xiang yu Zhang etal Deep Residual Learning for Image Recognition 2015.  Kaiming He Xiang yu Zhang et al Deep Residual Learning for Image Recognition 2015."},{"key":"e_1_3_2_1_12_1","unstructured":"Kyunghyun Cho Bart van etal Learning Phrase Representations using RNN Encoder-Decoder for S tatistical Machine Translation 2014.  Kyunghyun Cho Bart van et al Learning Phrase Representations using RNN Encoder-Decoder for S tatistical Machine Translation 2014."},{"key":"e_1_3_2_1_13_1","unstructured":"Li Dong Nan Yang etal Unified Language Model Pre-training for Natural Understanding and Generation 2019.  Li Dong Nan Yang et al Unified Language Model Pre-training for Natural Understanding and Generation 2019."},{"key":"e_1_3_2_1_14_1","unstructured":"Alec Radford Karthik Kishore Papineni Salim Roukos et al BLEU:a Method for Automatic Evaluation of Machine Translation 2002.  Alec Radford Karthik Kishore Papineni Salim Roukos et al BLEU:a Method for Automatic Evaluation of Machine Translation 2002."},{"key":"e_1_3_2_1_15_1","unstructured":"Narasimhan et al Improving Language Understanding by Generative Pre-Training 2018.  Narasimhan et al Improving Language Understanding by Generative Pre-Training 2018."},{"key":"e_1_3_2_1_16_1","unstructured":"IIya Loshchilov Frank Hutter etal Fixing Weight Decay Regularization in Adam 2018.  IIya Loshchilov Frank Hutter et al Fixing Weight Decay Regularization in Adam 2018."},{"key":"e_1_3_2_1_17_1","unstructured":"Diederik P.Kingma Jimmy Lei Ba Adam:A method for Stochastic Optimization 2017.  Diederik P.Kingma Jimmy Lei Ba Adam:A method for Stochastic Optimization 2017."}],"event":{"name":"MLNLP 2022: 2022 5th International Conference on Machine Learning and Natural Language Processing","acronym":"MLNLP 2022","location":"Sanya China"},"container-title":["Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3578741.3578752","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3578741.3578752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:50Z","timestamp":1750183730000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3578741.3578752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":17,"alternative-id":["10.1145\/3578741.3578752","10.1145\/3578741"],"URL":"https:\/\/doi.org\/10.1145\/3578741.3578752","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-03-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}