{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:17:30Z","timestamp":1740100650309,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747903","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"8052-8056","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Turn Incomplete Utterance Restoration As Object Detection"],"prefix":"10.1109","author":[{"given":"Wangjie","family":"Jiang","sequence":"first","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School"}]},{"given":"Siheng","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School"}]},{"given":"Jiayi","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School"}]},{"given":"Yujiu","family":"Yang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i14.17543","article-title":"SARG: A novel semi autoregressive generator for multi-turn incomplete utterance restoration","author":"huang","year":"2021","journal-title":"AAAI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.227"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref13","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"NAACL"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref15","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevB.14.3438"},{"key":"ref18","article-title":"BLEU: a method for automatic evaluation of machine translation","author":"papineni","year":"2002","journal-title":"ACL"},{"key":"ref19","article-title":"ROUGE: A package for automatic evaluation of summaries","author":"lin","year":"2004","journal-title":"ACL"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1605"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1191"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.270"},{"key":"ref8","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"NeurIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00377"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133169"},{"key":"ref9","article-title":"Adder attention for vision transformer","author":"shu","year":"2021","journal-title":"NeurIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700826"},{"article-title":"Pre-training with whole word masking for chinese bert","year":"2019","author":"cui","key":"ref20"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"key":"ref21","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9883"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50835-1_22"},{"article-title":"Language models are unsupervised multitask learners","year":"2019","author":"radford","key":"ref25"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747903.pdf?arnumber=9747903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:14:34Z","timestamp":1700507674000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747903\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747903","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}