Question and Answer pair generation for Telugu short stories

Meghana Bommadi, Shreya Terupally, Radhika Mamidi


Abstract
Question Answer pair generation is a task that has been worked upon by multiple researchers in many languages. It has been a topic of interest due to its extensive uses in different fields like self assessment, academics, business website FAQs etc. Many experiments were conducted on Question Answering pair generation in English, concentrating on basic Wh-questions with a rule-based approach. We have built the first hybrid machine learning and rule-based solution in Telugu which is efficient for short stories or short passages in children’s books. Our work covers the fundamental question forms with the question types: adjective, yes/no, adverb, verb, when, where, whose, quotative, and quantitative(how many/ how much). We constructed rules for question generation using POS tags and UD tags along with linguistic information of the surrounding context of the word.
Anthology ID:
2020.icon-main.48
Volume:
Proceedings of the 17th International Conference on Natural Language Processing (ICON)
Month:
December
Year:
2020
Address:
Indian Institute of Technology Patna, Patna, India
Editors:
Pushpak Bhattacharyya, Dipti Misra Sharma, Rajeev Sangal
Venue:
ICON
SIG:
Publisher:
NLP Association of India (NLPAI)
Note:
Pages:
355–361
Language:
URL:
https://aclanthology.org/2020.icon-main.48
DOI:
Bibkey:
Cite (ACL):
Meghana Bommadi, Shreya Terupally, and Radhika Mamidi. 2020. Question and Answer pair generation for Telugu short stories. In Proceedings of the 17th International Conference on Natural Language Processing (ICON), pages 355–361, Indian Institute of Technology Patna, Patna, India. NLP Association of India (NLPAI).
Cite (Informal):
Question and Answer pair generation for Telugu short stories (Bommadi et al., ICON 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.icon-main.48.pdf