Hindi History Note Generation with Unsupervised Extractive Summarization

被引：0
|
作者：
Shah, Aayush [1 ]
Ramasubbu, Dhineshkumar [1 ]
Mathew, Dhruv [1 ]
Gadoya, Meet Chetan [1 ]
机构：
[1] Univ Southern Calif, Los Angeles, CA 90007 USA
来源：
AACL-IJCNLP 2020: THE 1ST CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 10TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: PROCEEDINGS OF THE STUDENT RESEARCH WORKSHOP | 2020年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work, the task of extractive single document summarization applied to an education setting to generate summaries of chapters from grade 10 Hindi history textbooks is undertaken. Unsupervised approaches to extract summaries are employed and evaluated. TextRank, LexRank, Luhn and KLSum are used to extract summaries. When evaluated intrinsically, Luhn and TextRank summaries have the highest ROUGE scores. When evaluated extrinsically, the effective measure of a summary in answering exam questions, TextRank summaries performs the best.
引用
下载
收藏
页码：44 / 49
页数：6
相关论文
共 50 条
  • [1] Unsupervised Extractive Summarization with BERT
    Dutulescu, Andreea -Nicoleta
    Dascalu, Mihai
    Ruseti, Stefan
    2022 24TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC, 2022, : 158 - 164
  • [2] An Improvised Extractive Approach to Hindi Text Summarization
    Kumar, K. Vimal
    Yadav, Divakar
    INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 1, 2015, 339 : 291 - 300
  • [3] Unsupervised Extractive Summarization of Emotion Triggers
    Sosea, Tiberiu
    Zhan, Hongli
    Li, Junyi Jessy
    Caragea, Cornelia
    PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2023): LONG PAPERS, VOL 1, 2023, : 9550 - 9569
  • [4] A Comparative Analysis on Hindi and English Extractive Text Summarization
    Verma, Pradeepika
    Pal, Sukomal
    Om, Hari
    ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2019, 18 (03)
  • [5] Extractive summarization using supervised and unsupervised learning
    Mao, Xiangke
    Yang, Hui
    Huang, Shaobin
    Liu, Ye
    Li, Rongsheng
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 133 : 173 - 181
  • [6] Unsupervised Extractive Opinion Summarization Using Sparse Coding
    Chowdhury, Somnath Basu Roy
    Zhao, Chao
    Chaturvedi, Snigdha
    PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 1209 - 1225
  • [7] Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations
    Kano, Ryuji
    Miura, Yasuhide
    Taniguchi, Tomoki
    Ohkuma, Tomoko
    1ST CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 10TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (AACL-IJCNLP 2020), 2020, : 291 - 302
  • [8] Topic-Aware Modeling for Unsupervised Extractive Summarization
    Fan, Zhihao
    Li, Huiyong
    Mo, Shasha
    Niu, Jianwei
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [9] Learning-Free Unsupervised Extractive Summarization Model
    Jang, Myeongjun
    Kang, Pilsung
    IEEE ACCESS, 2021, 9 : 14358 - 14368
  • [10] Unsupervised Extractive Summarization using Pointwise Mutual Information
    Padmakumar, Vishakh
    He, He
    16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021), 2021, : 2505 - 2512
12345