{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:40Z","timestamp":1740100240909,"version":"3.37.3"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772568"],"award-info":[{"award-number":["61772568"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533555","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Utilization of Question Categories in Multi-Document Machine Reading Comprehension"],"prefix":"10.1109","author":[{"given":"Shaomin","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongjie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peiqin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Fine-tuned language models for text classification","volume":"abs 1801 6146","author":"howard","year":"2018","journal-title":"CoRR"},{"key":"ref30","first-page":"3485","article-title":"Text classification improved by integrating bidirectional LSTM with two-dimensional max pooling","author":"zhou","year":"2016","journal-title":"Proceedings of COLING 2016 the 26th International Conference on Computational Linguistics Technical Papers"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/570"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1147"},{"key":"ref12","article-title":"R 3: Reinforced ranker-reader for open-domain question answering","author":"wang","year":"0","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref13","article-title":"S-net: From answer extraction to answer synthesis for machine reading comprehension","author":"tan","year":"0","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1078"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1178"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017354"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1221"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098177"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1171"},{"key":"ref28","article-title":"Rouge: a package for automatic evaluation of summaries","author":"lin","year":"0","journal-title":"Workshop on Text Summarization Branches Out Post-Conference Workshop of ACL 2004 Barcelona Spain"},{"journal-title":"MS MARCO a human-generated machine reading comprehension dataset","year":"2016","author":"nguyen","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1264"},{"key":"ref6","article-title":"Bidirectional attention flow for machine comprehension","author":"seo","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1279"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-2605"},{"key":"ref8","article-title":"Qanet: Combining local convolution with global self-attention for reading comprehension","author":"yu","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1018"},{"key":"ref2","article-title":"The goldilocks principle: Reading children's books with explicit memory representations","author":"hill","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1157"},{"key":"ref1","article-title":"Teaching machines to read and comprehend","author":"hermann","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1158"},{"key":"ref22","article-title":"Machine comprehension using match-lstm and answer pointer","author":"wang","year":"2016","journal-title":"ArXiv Preprint"},{"journal-title":"Multi-scale self-attention for text classification","year":"2019","author":"guo","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref23","article-title":"An overview of multi-task learning in deep neural networks","author":"ruder","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Conference of the 3rd International Conference for Learning Representations 2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2023"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533555.pdf?arnumber=9533555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:50Z","timestamp":1652197550000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533555","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}