Paraphrase (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Paraphrase" in English language version.

refsWebsite

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7doi.org

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4books.google.com

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4aclanthology.org

low place

2jstor.org

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2worldcat.org

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2arxiv.org

69^th place

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2ieee.org

652^nd place

515^th place

1leia.org

low place

1peterlang.com

low place

1semanticscholar.org

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8^th place

1open.ac.uk

4,356^th place

2,724^th place

1researchgate.net

120^th place

125^th place

1web.archive.org

1^st place

aclanthology.org

Kovatchev, Venelin; Martí, M. Antònia; Salamó, Maria (2018). Calzolari, Nicoletta; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Hasida, Koiti; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph (eds.). "ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation". Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA).
Bandel, Elron; Aharonov, Ranit; Shmueli-Scheuer, Michal; Shnayderman, Ilya; Slonim, Noam; Ein-Dor, Liat (2022). Muresan, Smaranda; Nakov, Preslav; Villavicencio, Aline (eds.). "Quality Controlled Paraphrase Generation". Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin, Ireland: Association for Computational Linguistics: 596–609. arXiv:2203.10940. doi:10.18653/v1/2022.acl-long.45.
Wahle, Jan Philip; Gipp, Bela; Ruas, Terry (2023). "Paraphrase Types for Generation and Detection". In Bouamor, Houda; Pino, Juan; Bali, Kalika (eds.). Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics. pp. 12148–12164. doi:10.18653/v1/2023.emnlp-main.746.
Wahle, Jan Philip; Ruas, Terry; Kirstein, Frederic; Gipp, Bela (2022). "How Large Language Models are Transforming Machine-Paraphrase Plagiarism". In Goldberg, Yoav; Kozareva, Zornitsa; Zhang, Yue (eds.). Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics. pp. 952–963. doi:10.18653/v1/2022.emnlp-main.62.

arxiv.org

Bandel, Elron; Aharonov, Ranit; Shmueli-Scheuer, Michal; Shnayderman, Ilya; Slonim, Noam; Ein-Dor, Liat (2022). Muresan, Smaranda; Nakov, Preslav; Villavicencio, Aline (eds.). "Quality Controlled Paraphrase Generation". Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin, Ireland: Association for Computational Linguistics: 596–609. arXiv:2203.10940. doi:10.18653/v1/2022.acl-long.45.
Wahle, Jan Philip; Ruas, Terry; Meuschke, Norman; Gipp, Bela (2021). Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection. pp. 226–229. arXiv:2103.12450. doi:10.1109/JCDL52503.2021.00065. ISBN 978-1-6654-1770-9. Retrieved 2024-02-10.

books.google.com

Skills for Academic and Career Success. Pearson Higher Education AU. 16 September 2013. p. 104. ISBN 9781486014712.
Inglis, Fred (2008). Key Concepts in Education. SAGE Publications. ISBN 9780857022998.
Ruiter, Rik (2005). Highway to E.S.L. iUniverse. ISBN 9780595342211.
Levin, Beth (1993). English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago Press. ISBN 978-0-226-47533-2.

doi.org

D'Angelo, Frank J. (October 1979). "The Art of Paraphrase". College Composition and Communication. 30 (3): 255–259. doi:10.2307/356389. JSTOR 356389.
Vila, Marta; Bertran, Manuel; Martí, M. Antònia; Rodríguez, Horacio (2015-03-01). "Corpus annotation with paraphrase types: new annotation scheme and inter-annotator agreement measures". Language Resources and Evaluation. 49 (1): 77–105. doi:10.1007/s10579-014-9272-5. ISSN 1574-0218. S2CID 254370726.
Bandel, Elron; Aharonov, Ranit; Shmueli-Scheuer, Michal; Shnayderman, Ilya; Slonim, Noam; Ein-Dor, Liat (2022). Muresan, Smaranda; Nakov, Preslav; Villavicencio, Aline (eds.). "Quality Controlled Paraphrase Generation". Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin, Ireland: Association for Computational Linguistics: 596–609. arXiv:2203.10940. doi:10.18653/v1/2022.acl-long.45.
Wahle, Jan Philip; Gipp, Bela; Ruas, Terry (2023). "Paraphrase Types for Generation and Detection". In Bouamor, Houda; Pino, Juan; Bali, Kalika (eds.). Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics. pp. 12148–12164. doi:10.18653/v1/2023.emnlp-main.746.
Wahle, Jan Philip; Ruas, Terry; Meuschke, Norman; Gipp, Bela (2021). Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection. pp. 226–229. arXiv:2103.12450. doi:10.1109/JCDL52503.2021.00065. ISBN 978-1-6654-1770-9. Retrieved 2024-02-10.
Wahle, Jan Philip; Ruas, Terry; Kirstein, Frederic; Gipp, Bela (2022). "How Large Language Models are Transforming Machine-Paraphrase Plagiarism". In Goldberg, Yoav; Kozareva, Zornitsa; Zhang, Yue (eds.). Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics. pp. 952–963. doi:10.18653/v1/2022.emnlp-main.62.
Hunt, Ethan; Janamsetty, Ritvik; Kinares, Chanana; Koh, Chanel; Sanchez, Alexis; Zhan, Felix; Ozdemir, Murat; Waseem, Shabnam; Yolcu, Osman; Dahal, Binay; Zhan, Justin; Gewali, Laxmi; Oh, Paul (2019). Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection. pp. 97–104. doi:10.1109/ICBK.2019.00021. ISBN 978-1-7281-4607-2. Retrieved 2024-02-10.

ieee.org

ieeexplore.ieee.org

Wahle, Jan Philip; Ruas, Terry; Meuschke, Norman; Gipp, Bela (2021). Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection. pp. 226–229. arXiv:2103.12450. doi:10.1109/JCDL52503.2021.00065. ISBN 978-1-6654-1770-9. Retrieved 2024-02-10.
Hunt, Ethan; Janamsetty, Ritvik; Kinares, Chanana; Koh, Chanel; Sanchez, Alexis; Zhan, Felix; Ozdemir, Murat; Waseem, Shabnam; Yolcu, Osman; Dahal, Binay; Zhan, Justin; Gewali, Laxmi; Oh, Paul (2019). Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection. pp. 97–104. doi:10.1109/ICBK.2019.00021. ISBN 978-1-7281-4607-2. Retrieved 2024-02-10.

jstor.org

Stewart, Donald (1971). "Metaphor and Paraphrase". Philosophy & Rhetoric. 4 (2): 111–123. ISSN 0031-8213. JSTOR 40236756.
D'Angelo, Frank J. (October 1979). "The Art of Paraphrase". College Composition and Communication. 30 (3): 255–259. doi:10.2307/356389. JSTOR 356389.

leia.org

Chi Do Na; Nguyen Xuan Nhat Chi Mai (2017). "Paraphrasing in Academic Writing: a Case Study of Vietnamese Learners of English" (PDF). Language Education in Asia.

open.ac.uk

"Writing in your own words". The Open University. Retrieved July 27, 2012.

peterlang.com

Milicevic, Jasmina (2011-11-10). La paraphrase (in French). ISBN 978-3-0352-0096-6.

researchgate.net

Figueroa, Alejandro; Guenter Neumann (2013). Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering. AAAI.

semanticscholar.org

api.semanticscholar.org

Vila, Marta; Bertran, Manuel; Martí, M. Antònia; Rodríguez, Horacio (2015-03-01). "Corpus annotation with paraphrase types: new annotation scheme and inter-annotator agreement measures". Language Resources and Evaluation. 49 (1): 77–105. doi:10.1007/s10579-014-9272-5. ISSN 1574-0218. S2CID 254370726.

web.archive.org

Shardlow, Matthew. "A survey of automated text simplification." International Journal of Advanced Computer Science and Applications 4.1 (2014): 58–70.

worldcat.org

Stewart, Donald (1971). "Metaphor and Paraphrase". Philosophy & Rhetoric. 4 (2): 111–123. ISSN 0031-8213. JSTOR 40236756.
Vila, Marta; Bertran, Manuel; Martí, M. Antònia; Rodríguez, Horacio (2015-03-01). "Corpus annotation with paraphrase types: new annotation scheme and inter-annotator agreement measures". Language Resources and Evaluation. 49 (1): 77–105. doi:10.1007/s10579-014-9272-5. ISSN 1574-0218. S2CID 254370726.