{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:18:59Z","timestamp":1743099539206,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031539596"},{"type":"electronic","value":"9783031539602"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-53960-2_33","type":"book-chapter","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T05:54:30Z","timestamp":1710914070000},"page":"519-537","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Non-transfer Learning Approach in\u00a0Exploring the\u00a0Variations of\u00a0Extractive Summarization Components for\u00a0a\u00a0Low-Resource Language"],"prefix":"10.1007","author":[{"given":"Ronnel B.","family":"Valencia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reginald Neil C.","family":"Recario","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"33_CR1","unstructured":"Automatic text summarization system using transformers. https:\/\/www.neurond.com\/blog\/automatic-text-summarization-system-using-transformers"},{"key":"33_CR2","unstructured":"Summary of the models. https:\/\/huggingface.co\/docs\/transformers\/model_summary#autoregressive-models"},{"key":"33_CR3","unstructured":"What is transformers and how to install it in python? ProjectPro"},{"key":"33_CR4","unstructured":"Tagalog wikipedia dump, 2023-02-01. https:\/\/dumps.wikimedia.org\/tlwiki\/20230201\/. Accessed 11 Apr 2023"},{"key":"33_CR5","unstructured":"Charlz, M.: 10 maikling kwento na may aral tagalog, Oct 2022"},{"key":"33_CR6","unstructured":"Cruz, J.C.B., Cheng, C.: Establishing baselines for text classification in Low-Resource languages (2020)"},{"key":"33_CR7","unstructured":"Cruz, J.C.B., Cheng, C.: Improving large-scale language models and resources for filipino (2021)"},{"key":"33_CR8","unstructured":"Devlin, T.M.: How many people speak tagalog, and where is it spoken? (2019)"},{"key":"33_CR9","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1613\/jair.1523","volume":"22","author":"G Erkan","year":"2004","unstructured":"Erkan, G., Radev, D.R.: LexRank: graph-based lexical centrality as salience in text summarization. J. Artif. Intell. Res. 22, 457\u2013479 (2004)","journal-title":"J. Artif. Intell. Res."},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Hagberg, A., Schult, D., Swart, P.: Exploring network structure, dynamics, and function using networkx. In: Proceedings of the 7th Python in Science Conference, pp. 11\u201315 (2008)","DOI":"10.25080\/TCWV9851"},{"key":"33_CR11","unstructured":"Jurafsky, D., James Martin, H.: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed. draft) (2023). Draft version as of January 7, 2023"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Kudo, T.: Subword regularization: improving neural network translation models with multiple subword candidates. arXiv preprint arXiv:1804.10959 (2018)","DOI":"10.18653\/v1\/P18-1007"},{"key":"33_CR13","unstructured":"Liu, Y.: Fine-tune bert for extractive summarization (2019)"},{"key":"33_CR14","unstructured":"Liu, Y., et al.: Roberta: a robustly optimized bert pretraining approach (2019)"},{"key":"33_CR15","unstructured":"Mihalcea, R., Tarau, P.: Textrank: bringing order into texts. In: Proceedings of EMNLP (2004)"},{"key":"33_CR16","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space (2013)"},{"key":"33_CR17","unstructured":"Oliphant, T.: Guide to NumPy (2006)"},{"key":"33_CR18","unstructured":"O\u2019Neill, A.: Philippines - total population 2018\u20132028, Apr 2023"},{"key":"33_CR19","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"33_CR20","unstructured":"Perry, T.: What is tokenization in natural language processing (NLP)? (2022)"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Rani, U., Bidhan, K.: Comparative assessment of extractive summarization: Textrank, TF-IDF and LDA. 65(01) (2021)","DOI":"10.37398\/JSR.2021.650140"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Schuster, M., Nakajima, K.: Japanese and Korean voice search. In: Proceedings of the ACL 2012 System Demonstrations, pp. 13\u201318 (2012)","DOI":"10.1109\/ICASSP.2012.6289079"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., Birch, A.: Neural machine translation of rare words with subword units. arXiv preprint arXiv:1508.07909 (2015)","DOI":"10.18653\/v1\/P16-1162"},{"issue":"1","key":"33_CR24","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s42979-022-01446-w","volume":"4","author":"G Sharma","year":"2022","unstructured":"Sharma, G., Sharma, D.: Automatic text summarization methods: a comprehensive review. SN Comp. Sci. 4(1), 33 (2022)","journal-title":"SN Comp. Sci."},{"key":"33_CR25","unstructured":"Suarez, P.J.O., Sagot, B., Romary, L.: Asynchronous pipelines for processing huge corpora on medium to low resource infrastructures. In: Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-7) 2019. Cardiff, 22nd July 2019, pages 9\u201316, Mannheim. Leibniz-Institut f\u00fcr Deutsche Sprache (2019)"},{"key":"33_CR26","unstructured":"Velasco, D.J.: Filipino word embeddings (2021). https:\/\/github.com\/danjohnvelasco\/Filipino-Word-Embeddings. word2vec model"},{"key":"33_CR27","doi-asserted-by":"crossref","unstructured":"Wolf, T., et al.: Transformers: state-of-the-art natural language processing, October 2020","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"issue":"3","key":"33_CR28","first-page":"428","volume":"17","author":"Yu Zhang","year":"2016","unstructured":"Zhang, Yu., Gong, X., Huang, X., Yu, X.: The enhancement of TextRank algorithm by using word2vec and its application on topic extraction. J. Comput. Sci. 17(3), 428\u2013438 (2016)","journal-title":"J. Comput. Sci."}],"container-title":["Lecture Notes in Networks and Systems","Advances in Information and Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53960-2_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T17:29:18Z","timestamp":1731605358000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53960-2_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031539596","9783031539602"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53960-2_33","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Future of Information and Communication Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Berlin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/saiconference.com\/FICC","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}