Using Manual and Automatic Summarization: What Should Students Consider in Writing a Summary?

Authors

  • Tira Nur Fitria Institut Teknologi Bisnis AAS Indonesia

DOI:

https://doi.org/10.53416/electrum.v3i2.140

Keywords:

Automatic summarization, Manual summarization, Summarization, Summarizing

Abstract

Writing a summary related to reading and writing. Writing a summary of a text not only helps students assimilate what they have read by highlighting and connecting the key points but also enables them to articulate their thoughts in writing. It means that a summary must be brief, accurate, and written in individual words. This study describes teaching summarization both manual and automatic summarization for students. This research is library research. The analysis shows that writing and summarizing a journal article is a common task for students. Students can read articles for summaries, plan good summaries, and write summaries to completion. Writing a summary can be manual or online (automatic) summarization. Manually, students need to consider several points before writing a summary including avoiding using personal pronouns, making sentences as objective as possible, beginning by defining the problem statement, discussing the author’s methodology, describing the research results, connecting the main ideas featured, do not conclude, provide the interpretation, avoid using direct quotes from journal articles, use appropriate tenses and improve students writing design. Students must check their self-evaluation of summarising skills, such as expressing the central idea or theme as a statement/declarative, assessing the quantity, quality, and order of the evidence, constructing evidence for inferential reasoning, paraphrasing details in their words, and avoiding common pitfalls. While automatic summarisation involved an online summarizer tool. Many summarization tools are available for English languages with abundant resources. However, students need to consider the benefits and the limitations.

References

Alias, S., Mohammad, S. K., Gan, K. H., & Ping, T. T. (2018). MYTextSum: A Malay Text Summarizer Model Using a Constrained Pattern-Growth Sentence Compression Technique. Computational Science and Technology, 141–150. https://doi.org/10.1007/978-981-10-8276-4_14

Allahyari, M., Pouriyeh, S., Assefi, M., Safaei, S., Trippe, E. D., Gutierrez, J. B., & Kochut, K. (2017). Text Summarization Techniques: A Brief Survey (arXiv:1707.02268). arXiv. https://doi.org/10.48550/arXiv.1707.02268

Athans, S. K., & Parente, R. W. (2014). Tips and Tricks for Summarizing Text. The Rosen Publishing Group, Inc.

Azmi, A. M., & Altmami, N. I. (2018). An abstractive Arabic text summarizer with user controlled granularity. Information Processing & Management, 54(6), 903–921. https://doi.org/10.1016/j.ipm.2018.06.002

Bagalkotkar, A., Kandelwal, A., Pandey, S., & Kamath, S. S. (2013). A Novel Technique for Efficient Text Document Summarization as a Service. 2013 Third International Conference on Advances in Computing and Communications, 50–53. https://doi.org/10.1109/ICACC.2013.17

Bharadwaj, A., Srinivasan, A., Kasi, A., & Das, B. (2019). Extending The Performance of Extractive Text Summarization By Ensemble Techniques. 2019 11th International Conference on Advanced Computing (ICoAC), 282–288. https://doi.org/10.1109/ICoAC48765.2019.246854

Brunner, J. T., & Hudson, M. S. (2013). The HM Learning and Study Skills Program: Level 2: Teacher’s Guide. R&L Education.

Burney, B. S. N. M. Z. A. A., & Rizwan, K. (2012). Urdu Text Summarizer using Sentence Weight Algorithm for Word Processors. International Journal of Computer Applications. https://www.semanticscholar.org/paper/Urdu-Text-Summarizer-using-Sentence-Weight-for-Word-Burney-Rizwan/60f29d5b66d464a89e3f2956bec940f6b3f85f04

Christian, H., Agus, M. P., & Suhartono, D. (2016). Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TF-IDF). ComTech: Computer, Mathematics and Engineering Applications, 7(4), 285–294. https://doi.org/10.21512/comtech.v7i4.3746

DashAbhisek, ShandilyaAnurag, BiswasArindam, GhoshKripabandhu, GhoshSaptarshi, & ChakrabortyAbhijnan. (2019). Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proceedings of the ACM on Human-Computer Interaction. https://doi.org/10.1145/3359274

Dedhia, P. R., Pachgade, H. P., Malani, A. P., Raul, N., & Naik, M. (2020). Study on Abstractive Text Summarization Techniques. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 1–8. https://doi.org/10.1109/ic-ETITE47903.2020.087

Dugan, C. (2014). Informational Text: Summarizing Practice. Teacher Created Materials.

Fatmalasari, D. (2022). Peringkasan Teks Otomatis Menggunakan Metode Pembobotan Kalimat Pada Artikel Ilmiah Bahasa Indonesia [Undergraduate Paper, Universitas Lampung]. http://digilib.unila.ac.id/59886/

Fitria, T. N. (2018). Translation Techniques Found in English to Indonesian Abstract Translation of Journal Edunomika 2018. Elite : English and Literature Journal, 5(2), Article 2. https://doi.org/10.24252/elite.v5i2a4

Fitria, T. N. (2021). Grammatical Error Analysis of English Abstracts Translation in Jurnal Ilmiah Ekonomi Islam (JIEI) Journal. LITE: Jurnal Bahasa, Sastra, Dan Budaya, 17(2), 117–126. https://doi.org/10.33633/lite.v17i2.5050

Fitria, T. N. (2022a). An Analysis of the Students’ Difficulty in Reading the TOEFL Prediction Test. Komposisi: Jurnal Pendidikan Bahasa, Sastra, Dan Seni, 23(2), 110–123. https://doi.org/10.24036/komposisi.v23i2.116291

Fitria, T. N. (2022b). Analysis of EFL Students’ Difficulties in Writing and Completing English Thesis. LLT Journal: A Journal on Language and Language Teaching, 25(1), 295–309. https://doi.org/10.24071/llt.v25i1.3607

Fitria, T. N. (2023). Teaching Teaching Extensive Reading to EFL and Non-EFL Students: Benefits and Problems: Keywords: extensive reading, reading, reading English, teaching reading. ENJEL: English Journal of Education and Literature, 2(01), 76–85. https://jsr.unuha.ac.id/index.php/ENJEL/article/view/471

Flores, E. R., & Lopez, M. (2019). Self-reported summarizing and paraphrasing difficulties in L2 writing contexts: Some pedagogical interventions. Indonesian Journal of Applied Linguistics, 9(2), 286–296. https://doi.org/10.17509/ijal.v9i2.20219

Foong, O.-M., & Oxley, A. (2011). A hybrid PSO model in Extractive Text Summarizer. 2011 IEEE Symposium on Computers & Informatics, 130–134. https://doi.org/10.1109/ISCI.2011.5958897

Galgani, F., Compton, P., & Hoffmann, A. (2014). HAUSS: Incrementally building a summarizer combining multiple techniques. International Journal of Human-Computer Studies, 72(7), 584–605. https://doi.org/10.1016/j.ijhcs.2014.03.002

Gambhir, M., & Gupta, V. (2017). Recent automatic text summarization techniques: A survey. Artificial Intelligence Review, 47(1), 1–66. https://doi.org/10.1007/s10462-016-9475-9

García-Hernández, R. A., Ledeneva, Y., Mendoza, G. M., Dominguez, Á. H., Chavez, J., Gelbukh, A., & Fabela, J. L. T. (2009). Comparing Commercial Tools and State-of-the-Art Methods for Generating Text Summaries. 2009 Eighth Mexican International Conference on Artificial Intelligence, 92–96. https://doi.org/10.1109/MICAI.2009.24

Goularte, F. B., Nassar, S. M., Fileto, R., & Saggion, H. (2019). A text summarization method based on fuzzy rules and applicable to automated assessment. Expert Systems with Applications, 115, 264–275. https://doi.org/10.1016/j.eswa.2018.07.047

Greathouse, L. (2008). Comprehension and Critical Thinking Level 4. Teacher Created Materials.

Greenleaf, C., Schoenbach, R., Friedrich, L., Murphy, L., & Hogan, N. (2023). Reading for Understanding: How Reading Apprenticeship Improves Disciplinary Learning in Secondary and College Classrooms. John Wiley & Sons.

Gupta, H., & Patel, M. (2020). Study of Extractive Text Summarizer Using The Elmo Embedding. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 829–834. https://doi.org/10.1109/I-SMAC49090.2020.9243610

Gupta, V. (2013). A Survey of Text Summarizers for Indian Languages and Comparison of their Performance. Journal of Emerging Technologies in Web Intelligence, 5. https://doi.org/10.4304/jetwi.5.4.361-366

Hahn, U., & Mani, I. (2000). The Challenges of Automatic Summarization. Computer, 33(11), 29–36. https://doi.org/10.1109/2.881692

Hikmah, S. (2022). Analisis Kesulitan Menulis Ringkasan Bacaan Pada Tema 8 Subtema 2 Siswa Kelas IV Madrasah Ibtidaiyah. INOPENDAS: Jurnal Ilmiah Kependidikan, 5(1), 36–43. https://doi.org/10.24176/jino.v5i1.7689

Housel, D. J. (2015). Leveled Text-Dependent Question Stems: Summarizing. Teacher Created Materials.

Hutagaol, M. (2021). Analisis Kesulitan Siswa Dalam Menulis Ringkasan di Kelas IV SD Negeri 102047 Ria Baru Tahun Ajaran 2020/2021 [Undergraduate Paper, Universitas Quality]. http://portaluniversitasquality.ac.id:55555/1417/

Jain, R., Bellaney, B., & Jangid, P. (2021). Information Extraction from CORD-19 Using Hierarchical Clustering and Word Bank. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–5. https://doi.org/10.1109/ICCCNT51525.2021.9580126

Klein, P., Boscolo, P., Kirkpatrick, L., & Gelati, C. (2014). Writing as a Learning Activity. BRILL.

Kopp, K. (2017). Teaching Social Studies Today. Teacher Created Materials.

Kumar, K., & Soumya, R. (2015). Text summarization using clustering technique and SVM technique. International journal of applied engineering research. https://www.semanticscholar.org/paper/Text-summarization-using-clustering-technique-and-Kumar-Soumya/75e816648a6331bec3e1c8294197c195e010c7c0

Kumaravel, G., & Sankaranarayanan, S. (2021). PQPS: Prior-Art Query-Based Patent Summarizer Using RBM and Bi-LSTM. Mobile Information Systems, 2021, e2497770. https://doi.org/10.1155/2021/2497770

Kyoomarsi, F., Khosravi, H., Eslami, E., & Davoudi, M. (2010). Extraction-based text summarization using fuzzy analysis. Iranian Journal of Fuzzy Systems, 7(3), 15–32. https://doi.org/10.22111/ijfs.2010.185

Ma’ruf, M. H., & Fitria, T. N. (2021). Pelatihan Penulisan Artikel Ilmiah dari Skripsi dan Tesis Untuk Mahasiswa Serta Cara Publikasinya ke Jurnal Nasional. ABDAYA : Pengabdian Dan Pemberdayaan Masyarakat, 1(1), 6–13. https://www.researchgate.net/publication/355473502_Pelatihan_Penulisan_Artikel_Ilmiah_dari_Skripsi_dan_Tesis_Untuk_Mahasiswa_Serta_Cara_Publikasinya_ke_Jurnal_Nasional

Mascolo, J. T., Alfonso, V. C., & Flanagan, D. P. (2014). Essentials of Planning, Selecting, and Tailoring Interventions for Unique Learners. John Wiley & Sons.

Moradi, M. (2018). CIBS: A biomedical text summarizer using topic-based sentence clustering. Journal of Biomedical Informatics, 88, 53–61. https://doi.org/10.1016/j.jbi.2018.11.006

Naidoo, J., & Dulek, R. E. (2022). Artificial Intelligence in Business Communication: A Snapshot. International Journal of Business Communication, 59(1), 126–147. https://doi.org/10.1177/2329488418819139

Özdemir, S. (2018). The Effect of Summarization Strategies Teaching on Strategy Usage and Narrative Text Summarization Success. Universal Journal of Educational Research, 6(10), 2199–2209. https://eric.ed.gov/?id=EJ1192722

Pattnaik, S., & Nayak, A. K. (2021). Automatic Text Summarization for Odia Language: A Novel Approach. Dalam D. Mishra, R. Buyya, P. Mohapatra, & S. Patnaik (Ed.), Intelligent and Cloud Computing (hlm. 395–403). Springer. https://doi.org/10.1007/978-981-15-5971-6_43

Perkins, R. (2023). 3 Cara untuk Meringkas Jurnal Artikel. wikiHow. https://id.wikihow.com/Meringkas-Jurnal-Artikel

Rautray, R., Balabantaray, R. C., & Bhardwaj, A. (2015). Document Summarization Using Sentence Features. International Journal of Information Retrieval Research (IJIRR), 5(1), 36–47. https://doi.org/10.4018/IJIRR.2015010103

Reddy, K. K. C., Anisha, P. R., Nguyen, N. G., & Sreelatha, G. (2021). A Text Mining using Web Scraping for Meaningful Insights. Journal of Physics: Conference Series, 2089(1), 012048. https://doi.org/10.1088/1742-6596/2089/1/012048

Rose, M. S. (2001). In Defence of Summarization. International Journal of Bahamian Studies, 10, 29–34. https://doi.org/10.15362/ijbs.v10i0.38

Rozaimee, A., Bashir, M., & Malini, W. (2017). Automatic Hausa LanguageText Summarization Based on Feature Extraction using Naïve Bayes Model. World Applied Sciences Journal, 35, 2074–2080. https://doi.org/10.5829/idosi.wasj.2017.2074.2080

Sahoo, D., Bhoi, A., & Balabantaray, R. C. (2018). Hybrid Approach To Abstractive Summarization. Procedia Computer Science, 132, 1228–1237. https://doi.org/10.1016/j.procs.2018.05.038

Saraswathi, S., & Arti, R. (2010). Multi-Document Text Summarization Using Clustering Techniques and Lexical Chaining. ICTACT Journal on Soft Computing, 1(1), 23–29. https://doi.org/10.21917/ijsc.2010.0004

Sari, E. M. P., & Aini, N. (2019). Writing For Academic Purpose: (A Blended Learning Handout). Myria Publisher.

Sarwadnya, V. V., & Sonawane, S. S. (2018). Marathi Extractive Text Summarizer Using Graph Based Model. 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 1–6. https://doi.org/10.1109/ICCUBEA.2018.8697741

Schaffer, F. (2012). Summarizing, Grades 5—6. Carson-Dellosa Publishing.

Schneider, J. (2023). Melting the ice: Engaging and educational ice-breaker activities for every learning session. Hachette UK.

Shah, P., & Desai, N. P. (2016). A survey of automatic text summarization techniques for Indian and foreign languages. 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 4598–4601. https://doi.org/10.1109/ICEEOT.2016.7755587

Sihabuddin. (2019). Terampil Berbicara dan Menulis Untuk Mahasiswa, Guru, Dosen, dan Umum. Araska Publisher.

Smith, J. L. (2004). Reading First Activities, Grade K. Teacher Created Resources.

Soni, V., Kumar, L., Singh, A. K., & Kumar, M. (2020). Text Summarization: An Extractive Approach. Dalam M. Pant, T. Kumar Sharma, R. Arya, B. C. Sahana, & H. Zolfagharinia (Ed.), Soft Computing: Theories and Applications (hlm. 629–637). Springer. https://doi.org/10.1007/978-981-15-4032-5_57

Suprihati, S., & Fitria, T. N. (2021). Pelatihan Penulisan Karya Ilmiah (Tugas Akhir dan Skripsi) Bagi Mahasiswa D3 dan S1 Di Provinsi Jawa dan Luar Jawa. Jurnal Inovasi Dan Pengabdian Kepada Masyarakat, 1(1), Article 1. https://doi.org/10.47232/jptm.v1i1.91

Susar, F., & Akkaya, N. (2009). University students for using the summarizing strategies. Procedia - Social and Behavioral Sciences, 1(1), 2496–2499. https://doi.org/10.1016/j.sbspro.2009.01.440

Uddin, Md. N., & Khan, S. A. (2007). A study on text summarization techniques and implement few of them for Bangla language. 2007 10th international conference on computer and information technology, 1–4. https://doi.org/10.1109/ICCITECHN.2007.4579374

Utomo, M. S., Wibowo, J. S., & Wahyudi, E. N. (2022). Text Summarization Pada Artikel Berita Menggunakan Vector Space Model dan Cosine Similarity. Dinamika Informatika : Jurnal Ilmiah Teknologi Informasi, 14(1), 11–24. https://doi.org/10.35315/informatika.v14i1.9163

Vaishali, P. K., Kalpana, B. K., & Mahender, C. N. (2022). A Survey on Automated Text Summarization System for Indian Languages. Dalam D. J. Hemanth, D. Pelusi, & C. Vuppalapati (Ed.), Intelligent Data Communication Technologies and Internet of Things (hlm. 921–941). Springer Nature. https://doi.org/10.1007/978-981-16-7610-9_67

Verma, P., & Verma, A. (2020). Accountability of NLP Tools in Text Summarization for Indian Languages. Journal of scientific research, 64(01), 258–263. https://doi.org/10.37398/JSR.2020.640149

Willis, J. (2008). Teaching the Brain to Read: Strategies for Improving Fluency, Vocabulary, and Comprehension. ASCD.

Yeasmin, S., Tumpa, P. B., Nitu, A. M., Palash, M., Uddin, Ali, E., & Afjal, M. (2017). Study of Abstractive Text Summarization Techniques. American Journal of Engineering Research (AJER), 6(8), 253–260. https://www.semanticscholar.org/paper/Study-of-Abstractive-Text-Summarization-Techniques-Yeasmin-Tumpa/0b0e357469dff229093d4c047e0842f5c6736a53

Zamzam, M. A. (2020). Sistem Automatic Text Summarization Menggunakan Algoritma Textrank. MATICS, 12, 111–116. https://doi.org/10.18860/mat.v12i2.8372

Downloads

Published

2023-07-31

Issue

Section

Articles