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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 40 1 Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics Richard Socher; Andrej Karpathy; Quoc V. Le... In: http://www.transacl.org/wp-content/uploads/2014/04/52.pdf (2014) BASE Show details 2 Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics. Richard Socher; Andrej Karpathy; Quoc V Le... In: http://acl2014.org/acl2014/Q14/pdf/Q14-1010.pdf (2014) BASE Show details 3 Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics. Richard Socher; Andrej Karpathy; Quoc V Le... In: http://acl2014.org/acl2014/Q14/pdf/Q1410.pdf (2014) BASE Show details 4 Parsing With Compositional Vector Grammars Richard Socher; John Bauer; Christopher D. Manning... In: http://aclweb.org/anthology/P/P13/P13-1045.pdf (2013) BASE Show details 5 END-TO-END TEXT RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORKS An Honors Thesis; David J. Wu; Principal Adviser... In: http://crypto.stanford.edu/%7Edwu4/papers/HonorThesis.pdf (2012) BASE Show details 6 Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher; Jeffrey Pennington; Eric H. Huang... In: http://aclweb.org/anthology-new/D/D11/D11-1014.pdf (2011) BASE Show details 7 Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher; Jeffrey Pennington; Eric H. Huang... In: http://nlp.stanford.edu/pubs/SocherPenningtonHuangNgManning_EMNLP2011.pdf (2011) BASE Show details 8 Semi-supervised recursive autoencoders for predicting sentiment distributions Richard Socher; Jeffrey Pennington; Eric H. Huang... In: http://aclweb.org/supplementals/D/D11/D11-1014.Attachment.pdf (2011) BASE Show details 9 Learning continuous phrase representations and syntactic parsing with recursive neural networks Richard Socher; Christopher D. Manning; Andrew Y. Ng In: http://www.socher.org/uploads/Main/2010SocherManningNg.pdf (2010) BASE Show details 10 Learning continuous phrase representations and syntactic parsing with recursive neural networks Richard Socher; Christopher D. Manning; Andrew Y. Ng In: http://wuawua.googlecode.com/files/Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks.pdf (2010) BASE Show details 11 Cheap and fast - but is it good? evaluating nonexpert annotations for natural language tasks Rion Snow; Daniel Jurafsky; Andrew Y. Ng In: http://sing.stanford.edu/cs303-sp11/papers/snow_turk.pdf (2008) BASE Show details 12 Cheap and fast — but is it good? Evaluating non-expert annotations for natural language tasks Rion Snow; Daniel Jurafsky; Andrew Y. Ng In: http://blog.doloreslabs.com/wp-content/uploads/2008/09/amt_emnlp08_final.pdf (2008) BASE Show details 13 Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. EMNLP’08 Rion Snow; Daniel Jurafsky; Andrew Y. Ng In: http://www.aclweb.org/anthology-new/D/D08/D08-1027.pdf (2008) BASE Show details 14 Cheap and fast — but is it good? Evaluating non-expert annotations for natural language tasks Rion Snow; Daniel Jurafsky; Andrew Y. Ng In: http://nlp.stanford.edu/pubs/amt_emnlp08.pdf (2008) BASE Show details 15 Cheap and fast — But is it good? Evaluating non-expert annotations for natural language tasks Rion Snow; Daniel Jurafsky; Andrew Y. Ng In: http://blog.doloreslabs.com/wp-content/uploads/2008/09/amt_emnlp08_accepted.pdf (2008) BASE Show details 16 Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines Jenny Rose Finkel; Christopher D. Manning; Andrew Y. Ng In: http://nlp.stanford.edu/cmanning/papers/pipeline.pdf (2006) BASE Show details 17 Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines Jenny Rose Finkel; Christopher D. Manning; Andrew Y. Ng In: http://nlp.stanford.edu/cmanning/papers/pipeline.ps (2006) BASE Show details 18 Solving the problem of cascading errors: Approximate Bayesian inference for linguistic annotation pipelines Jenny Rose Finkel; Christopher D. Manning; Andrew Y. Ng In: http://www.aclweb.org/anthology-new/W/W06/W06-1673.pdf (2006) BASE Show details 19 Robust textual inference via learning and abductive reasoning Rajat Raina; Andrew Y. Ng; Christopher D. Manning In: http://www.robotics.stanford.edu/~ang/papers/aaai05-learnabduction.ps (2005) BASE Show details 20 Robust textual inference via learning and abductive reasoning Rajat Raina; Andrew Y. Ng; Christopher D. Manning In: http://www.stanford.edu/~rajatr/papers/aaai05-learnabduction.pdf (2005) BASE Show details Page: 1 2

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