{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:35:58Z","timestamp":1742952958837,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031271984"},{"type":"electronic","value":"9783031271991"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-27199-1_15","type":"book-chapter","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T09:03:19Z","timestamp":1681117399000},"page":"140-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["GWD: Graded Word Drop Model for\u00a0When Type Questions for\u00a0Hindi QA"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0069-1756","authenticated-orcid":false,"family":"Vani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3292-4131","authenticated-orcid":false,"given":"Sumit","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9422-6961","authenticated-orcid":false,"given":"Puja","family":"Burman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9278-8226","authenticated-orcid":false,"given":"Anmol","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7206-9013","authenticated-orcid":false,"given":"Uma Shanker","family":"Tiwary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,11]]},"reference":[{"key":"15_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-3-319-10816-2_27","volume-title":"Text, Speech and Dialogue","author":"S Banerjee","year":"2014","unstructured":"Banerjee, S., Naskar, S.K., Bandyopadhyay, S.: BFQA: a Bengali factoid question answering system. In: Sojka, P., Hor\u00e1k, A., Kope\u010dek, I., Pala, K. (eds.) TSD 2014. LNCS (LNAI), vol. 8655, pp. 217\u2013224. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10816-2_27"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 8440\u20138451 (2020). https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.747","DOI":"10.18653\/v1\/2020.acl-main.747"},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv (2018). https:\/\/doi.org\/10.48550\/ARXIV.1810.04805","DOI":"10.48550\/ARXIV.1810.04805"},{"key":"15_CR4","unstructured":"Google Research India. Chaii - Hindi and Tamil Question Answering, 11 August 2021. Kaggle. https:\/\/www.kaggle.com\/competitions\/chaii-hindi-and-tamil-question-answering\/data"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"Gupta, D., Ekbal, A., Bhattacharyya, P.: A deep neural network framework for English hindi question answering. ACM Trans. Asian Low-Resour. Lang. Inf. Processi. 19(2), 1\u201322 (2020). https:\/\/doi.org\/10.1145\/3359988","DOI":"10.1145\/3359988"},{"key":"15_CR6","unstructured":"Gupta, D., Kumari, S., Ekbal, A., Bhattacharyya, P.: MMQA: a multi-domain multi-lingual question-answering framework for English and Hindi. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018 (2018)"},{"key":"15_CR7","unstructured":"Jha, V., N, M., Shenoy, P.D., R, V.K.: Hindi language stop words list. Mendeley Data, 4 December 2018. https:\/\/data.mendeley.com\/datasets\/bsr3frvvjc\/1"},{"key":"15_CR8","doi-asserted-by":"publisher","unstructured":"Khanuja, S., et al.: MuRIL: multilingual representations for Indian languages. arXiv (2021). https:\/\/doi.org\/10.48550\/ARXIV, https:\/\/arxiv.org\/pdf\/2103.10730.pdf","DOI":"10.48550\/ARXIV"},{"key":"15_CR9","unstructured":"Panjwani, R., Kanojia, D., Bhattacharyya, P.: pyiwn: a Python based API to access Indian language WordNets. In: Proceedings of the 9th Global Wordnet Conference, pp. 378\u2013383 (2018). https:\/\/aclanthology.org\/2018.gwc-1.47"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Rajpurkar, P., Jia, R., Liang, P.: Know what you don\u2019t know: unanswerable questions for SQuAD. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Melbourne, Australia, pp. 784\u2013789. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-2124"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Rajpurkar, P., Zhang, J., Lopyrev, K., and Liang, P.: SQuAD: 100,000+ questions for machine comprehension of text. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, pp. 2383\u20132392. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/D16-1264"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"149","DOI":"10.5121\/ijcsit.2012.4213","volume":"4","author":"S Sahu","year":"2012","unstructured":"Sahu, S., Vasnik, N., Roy, D.: Prashnottar: a Hindi question answering system. Int. J. Comput. Sci. Inf. Technol. 4, 149\u2013158 (2012). https:\/\/doi.org\/10.5121\/ijcsit.2012.4213","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"15_CR13","unstructured":"The Cochrane Collaboration. Cochrane evidence in different languages. Cochrane, 24 February 2021. https:\/\/www.cochrane.org\/news\/cochrane-evidence-different-languages"}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-27199-1_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T09:10:01Z","timestamp":1681117801000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-27199-1_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031271984","9783031271991"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-27199-1_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"11 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IHCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Human Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tashkent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Uzbekistan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ihci2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}