{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:06:49Z","timestamp":1775696809862,"version":"3.50.1"},"reference-count":23,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","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\/icassp43922.2022.9746739","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"7812-7816","source":"Crossref","is-referenced-by-count":12,"title":["Connecting Targets via Latent Topics And Contrastive Learning: A Unified Framework For Robust Zero-Shot and Few-Shot Stance Detection"],"prefix":"10.1109","author":[{"given":"Rui","family":"Liu","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Lin","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Fu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiping","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1715","article-title":"Will-they-won’t-they: A very large dataset for stance detection on twitter","author":"conforti","year":"0","journal-title":"ACL 2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331367"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.379"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.278"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"ref15","article-title":"Supervised contrastive learning","author":"khosla","year":"0","journal-title":"NeurIPS 2020"},{"key":"ref16","article-title":"Supervised contrastive learning for pre-trained language model fine-tuning","author":"gunel","year":"0","journal-title":"ICLR 2021"},{"key":"ref17","first-page":"4171","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"NAACL HLT 2019"},{"key":"ref18","article-title":"Categorical reparameterization with gumbel-softmax","author":"jang","year":"0","journal-title":"ICLR 2017"},{"key":"ref19","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","author":"maddison","year":"0","journal-title":"ICLR 2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/557"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3003433"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2123"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017249"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.717"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449790"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1084"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.4"},{"key":"ref20","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"0","journal-title":"NeurIPS 2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.291"},{"key":"ref21","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"NeurIPS 2017"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"ICLR 2015"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"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\/09746739.pdf?arnumber=9746739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:05:35Z","timestamp":1660593935000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746739","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}