Unsupervised Readability Assessment via Learning from Weak Readability Signals-Reference-Cited by-同舟云学术

Unsupervised Readability Assessment via Learning from Weak Readability Signals

Published:2023-07-18 Issue: Volume: Page:
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Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Liu Yuliang¹^ORCID,Jiang Zhiwei¹^ORCID,Yin Yafeng¹^ORCID,Wang Cong¹^ORCID,Chen Sheng¹^ORCID,Chen Zhaoling¹^ORCID,Gu Qing¹^ORCID

Affiliation:

1. Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591695

Reference45 articles.

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3. Ion Madrazo Azpiazu and Maria Soledad Pera . 2016 . Is Readability a Valuable Signal for Hashtag Recommendations? . In Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016 (CEUR Workshop Proceedings , Vol. 1688), Ido Guy and Amit Sharma (Eds.). CEUR-WS.org. http://ceur-ws.org/Vol-1688/paper- 21 .pdf Ion Madrazo Azpiazu and Maria Soledad Pera. 2016. Is Readability a Valuable Signal for Hashtag Recommendations?. In Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016 (CEUR Workshop Proceedings, Vol. 1688), Ido Guy and Amit Sharma (Eds.). CEUR-WS.org. http://ceur-ws.org/Vol-1688/paper-21.pdf

4. New Approaches to Readability;Bamberger Richard;Austrian Research. The Reading Teacher,1984

5. Kepa Bengoetxea and Itziar Gonzalez-Dios. 2021. MultiAzterTest: A Multilingual Analyzer on Multiple Levels of Language for Readability Assessment. arXiv:2109.04870 [cs] Kepa Bengoetxea and Itziar Gonzalez-Dios. 2021. MultiAzterTest: A Multilingual Analyzer on Multiple Levels of Language for Readability Assessment. arXiv:2109.04870 [cs]