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ICML '06 Proceedings of the 23rd international conference on Machine learning
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Towards Scalable Dataset Construction: An Active Learning Approach
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Machine Translation
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Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
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SemEval-2007 task 10: English lexical substitution task
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning
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CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
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ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Apples to oranges: evaluating image annotations from natural language processing systems
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, we show that our methods exceed competitive baselines by a large margin, and compare favorably with the state-of-the-art that uses both textual and image features.