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extended-abstract

An Entailment Analysis Based Entity Mapping To Improve Automatic Question Generation

Published: 02 January 2021 Publication History

Abstract

Automatic generation of assessment questions to enhance learning requires natural language understanding. To enhance the process, the entities extracted from the subject domain, may be mapped to form knowledge graphs. But entity mapping faces the challenge of analysing entailment. The proposed work analyses the semantic relevance in the process and aims at generating heuristics to map entities.

References

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Matthias Broecheler, Lilyana Mihalkova, and L. Getoor. 2010. Probabilistic Similarity Logic. ArXiv abs/1203.3469(2010).
[2]
Yllias Chali and Sadid A. Hasan. 2015. Towards Topic-to-Question Generation. Comput. Linguist. 41, 1 (March 2015), 1–20. https://doi.org/10.1162/COLI_a_00206
[3]
William W. Cohen, Henry Kautz, and David Mcallester. 2000. Hardening soft information sources. Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 00(2000). https://doi.org/10.1145/347090.347141
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Shangpu Jiang, Daniel Lowd, and Dejing Dou. 2012. Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. Proceedings - IEEE International Conference on Data Mining, ICDM, 912–917. https://doi.org/10.1109/ICDM.2012.156
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Sanju Mishra Tiwari and Sarika Jain. 2018. An Intelligent Knowledge Treasure for Military Decision Support. International Journal of Web-Based Learning and Teaching Technologies 14 (08 2018). https://doi.org/10.4018/IJWLTT.2019070105
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V. VinuE. and P. S. Kumar. 2016. Redundancy-free Verbalization of Individuals for Ontology Validation. ArXiv abs/1607.07027(2016).

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CODS-COMAD '21: Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)
January 2021
453 pages
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 January 2021

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Author Tags

  1. E-Assessment
  2. Entailment Analysis
  3. Entity Mapping
  4. Natural Language Understanding
  5. Ontology

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  • Extended-abstract
  • Research
  • Refereed limited

Conference

CODS COMAD 2021
CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD
January 2 - 4, 2021
Bangalore, India

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Overall Acceptance Rate 197 of 680 submissions, 29%

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