{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T10:29:39Z","timestamp":1776335379600,"version":"3.51.2"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61703417"],"award-info":[{"award-number":["61703417"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2911850","type":"journal-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T19:57:12Z","timestamp":1556740632000},"page":"53296-53304","source":"Crossref","is-referenced-by-count":40,"title":["Few-Shot Transfer Learning for Text Classification With Lightweight Word Embedding Based Models"],"prefix":"10.1109","volume":"7","author":[{"given":"Chongyu","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4239-2677","authenticated-orcid":false,"given":"Jian","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxing","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingsheng","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref11","first-page":"440","article-title":"Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms","author":"shen","year":"2018","journal-title":"Proc ACL"},{"key":"ref12","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"Proc ICML"},{"key":"ref13","first-page":"1","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2017","journal-title":"Proc ICLR"},{"key":"ref14","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","author":"koch","year":"2015","journal-title":"Proc ICML"},{"key":"ref15","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Proc NIPS"},{"key":"ref16","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Proc NIPS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5772-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1244"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1162"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref6","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc NIPS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2068"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref2","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc NIPS"},{"key":"ref9","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"2015","journal-title":"Proc NIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref20","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc NIPS"},{"key":"ref22","first-page":"1","article-title":"A simple but tough-to-beat baseline for sentence embeddings","author":"arora","year":"2017","journal-title":"Proc ICLR"},{"key":"ref21","author":"bailey","year":"2018","journal-title":"Few-shot text classification with pre-trained word embeddings and a human in the loop"},{"key":"ref24","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref23","year":"2017","journal-title":"Incredible Word2Vec A Pre-trained Model"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.77"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08693837.pdf?arnumber=8693837","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:37Z","timestamp":1628624437000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8693837\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2911850","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}