@inproceedings{balaji-etal-2023-automated,
title = "Automated Answer Validation using Text Similarity",
author = "Balaji, Ganesan and
Arjun, Ravikumar and
Lakshay, Piplani and
Rini, Bhaumik and
Dhivya, Padmanaban and
Shwetha, Narasimhamurthy and
Chetan, Adhikary and
Subhash, Deshapogu",
editor = "Jyoti, D. Pawar and
Sobha, Lalitha Devi",
booktitle = "Proceedings of the 20th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2023",
address = "Goa University, Goa, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2023.icon-1.83",
pages = "807--814",
abstract = "Automated answer validation can help improve learning outcomes by providing appropriate feedback to learners, and by making question answering systems and online learning solutions more widely available. There have been some works in science question answering which show that information retrieval methods outperform neural methods, especially in the multiple choice version of this problem. We implement Siamese neural network models and produce a generalised solution to this problem. We compare our supervised model with other text similarity based solutions.",
}
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%0 Conference Proceedings
%T Automated Answer Validation using Text Similarity
%A Balaji, Ganesan
%A Arjun, Ravikumar
%A Lakshay, Piplani
%A Rini, Bhaumik
%A Dhivya, Padmanaban
%A Shwetha, Narasimhamurthy
%A Chetan, Adhikary
%A Subhash, Deshapogu
%Y Jyoti, D. Pawar
%Y Sobha, Lalitha Devi
%S Proceedings of the 20th International Conference on Natural Language Processing (ICON)
%D 2023
%8 December
%I NLP Association of India (NLPAI)
%C Goa University, Goa, India
%F balaji-etal-2023-automated
%X Automated answer validation can help improve learning outcomes by providing appropriate feedback to learners, and by making question answering systems and online learning solutions more widely available. There have been some works in science question answering which show that information retrieval methods outperform neural methods, especially in the multiple choice version of this problem. We implement Siamese neural network models and produce a generalised solution to this problem. We compare our supervised model with other text similarity based solutions.
%U https://aclanthology.org/2023.icon-1.83
%P 807-814
Markdown (Informal)
[Automated Answer Validation using Text Similarity](https://aclanthology.org/2023.icon-1.83) (Balaji et al., ICON 2023)
ACL
- Ganesan Balaji, Ravikumar Arjun, Piplani Lakshay, Bhaumik Rini, Padmanaban Dhivya, Narasimhamurthy Shwetha, Adhikary Chetan, and Deshapogu Subhash. 2023. Automated Answer Validation using Text Similarity. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 807–814, Goa University, Goa, India. NLP Association of India (NLPAI).