Regular Expression Guided Entity Mention Mining from Noisy Web Data
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Shanshan Zhang | Slobodan Vucetic | Lihong He | Eduard Constantin Dragut | S. Vucetic | Shanshan Zhang | Lihong He
[1] Dongyan Zhao,et al. Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding , 2018, ACL.
[2] Eric Medvet,et al. Automatic generation of regular expressions from examples with genetic programming , 2012, GECCO '12.
[3] Eric Medvet,et al. Active Learning of Regular Expressions for Entity Extraction , 2018, IEEE Transactions on Cybernetics.
[4] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[5] Doug Downey,et al. Unsupervised named-entity extraction from the Web: An experimental study , 2005, Artif. Intell..
[6] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[7] Iyad Rahwan,et al. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm , 2017, EMNLP.
[8] Bowen Zhou,et al. A Structured Self-attentive Sentence Embedding , 2017, ICLR.
[9] Eric Medvet,et al. Automatic Synthesis of Regular Expressions from Examples , 2014, Computer.
[10] Christopher D. Manning,et al. Nested Named Entity Recognition , 2009, EMNLP.
[11] Eric Nichols,et al. Named Entity Recognition with Bidirectional LSTM-CNNs , 2015, TACL.
[12] Jun Zhao,et al. Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.
[13] Jiawei Han,et al. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions , 2015, IEEE Transactions on Knowledge and Data Engineering.
[14] Satoshi Sekine,et al. A survey of named entity recognition and classification , 2007 .
[15] Khaled Shaalan,et al. A Survey of Web Information Extraction Systems , 2006, IEEE Transactions on Knowledge and Data Engineering.
[16] Eric P. Xing,et al. Harnessing Deep Neural Networks with Logic Rules , 2016, ACL.
[17] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[18] Oren Etzioni,et al. Open Information Extraction from the Web , 2007, CACM.
[19] Regina Barzilay,et al. Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge , 2016, EMNLP.
[20] Ahmet Cetinkaya. Regular expression generation through grammatical evolution , 2007, GECCO '07.
[21] E. Medvet,et al. Inference of Regular Expressions for Text Extraction from Examples , 2016, IEEE Transactions on Knowledge and Data Engineering.
[22] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[23] Sriram Raghavan,et al. Regular Expression Learning for Information Extraction , 2008, EMNLP.
[24] Tobias Scheffer,et al. Learning to Identify Regular Expressions that Describe Email Campaigns , 2012, ICML.
[25] Robert Rieger,et al. Enabling information extraction by inference of regular expressions from sample entities , 2011, CIKM '11.
[26] Yun Fu,et al. Examples-Rules Guided Deep Neural Network for Makeup Recommendation , 2017, AAAI.
[27] Henning Fernau,et al. Algorithms for learning regular expressions from positive data , 2009, Inf. Comput..
[28] François Denis,et al. Learning Regular Languages from Simple Positive Examples , 2001, Machine Learning.
[29] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[30] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[31] Benjamin Livshits,et al. Program Boosting , 2015, POPL.
[32] Karin Murthy,et al. Improving Recall of Regular Expressions for Information Extraction , 2012, WISE.
[33] Yoshua Bengio,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.