{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:10:30Z","timestamp":1775067030897,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,12]]},"DOI":"10.1109\/asru.2013.6707709","type":"proceedings-article","created":{"date-parts":[[2014,1,10]],"date-time":"2014-01-10T20:07:23Z","timestamp":1389384443000},"page":"78-83","source":"Crossref","is-referenced-by-count":156,"title":["Convolutional neural network based triangular CRF for joint intent detection and slot filling"],"prefix":"10.1109","author":[{"given":"Puyang","family":"Xu","sequence":"first","affiliation":[]},{"given":"Ruhi","family":"Sarikaya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"15","author":"kudo","year":"2009","journal-title":"CRF++ Yet Another CRF Toolkit"},{"key":"16","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2010-671","article-title":"Strategies for statistical spoken language understanding with small amount of data an empirical study","author":"wang","year":"2010","journal-title":"InterSpeech"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"14","author":"hinton","year":"2012","journal-title":"Improving Neural Networks by Preventing Co-adaptation of Feature Detectors"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288861"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2010.2075990"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.925143"},{"key":"2","first-page":"591","article-title":"Maximum entropy markov models for information extraction and segmentation","author":"mccallum","year":"2000","journal-title":"ICML"},{"key":"1","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2001","journal-title":"ICML"},{"key":"10","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2010-304","article-title":"Investigation of fullsequence training of deep belief networks for speech recognition","author":"mohamed","year":"2010","journal-title":"InterSpeech"},{"key":"7","article-title":"Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding","author":"mesnil","year":"2013","journal-title":"InterSpeech"},{"key":"6","article-title":"Recurrent neural networks for language understanding","author":"yao","year":"2013","journal-title":"InterSpeech"},{"key":"5","article-title":"Deep belief network based semantic taggers for spoken language understanding","author":"deoras","year":"2013","journal-title":"InterSpeech"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947649"},{"key":"9","article-title":"Neural conditional random fields","author":"do","year":"2010","journal-title":"JMLR"},{"key":"8","article-title":"Conditional neural fields","author":"peng","year":"2009","journal-title":"NIPS"}],"event":{"name":"2013 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","location":"Olomouc, Czech Republic","start":{"date-parts":[[2013,12,8]]},"end":{"date-parts":[[2013,12,12]]}},"container-title":["2013 IEEE Workshop on Automatic Speech Recognition and Understanding"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6695806\/6707689\/06707709.pdf?arnumber=6707709","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,23]],"date-time":"2022-03-23T01:01:24Z","timestamp":1647997284000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6707709\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/asru.2013.6707709","relation":{},"subject":[],"published":{"date-parts":[[2013,12]]}}}