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A Survey of Current Datasets for Vision and Language Research.

, , , , , , and . EMNLP, page 207-213. The Association for Computational Linguistics, (2015)

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A Survey of Current Datasets for Vision and Language Research., , , , , , and . EMNLP, page 207-213. The Association for Computational Linguistics, (2015)SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering., , , , , and . SemEval@NAACL-HLT, page 792-800. The Association for Computer Linguistics, (2015)A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories., , , , , , , and . HLT-NAACL, page 839-849. The Association for Computational Linguistics, (2016)Formal Verification of Temporal Questions in the Context of Query-Answering Text Summarization., , and . Canadian Conference on AI, volume 7310 of Lecture Notes in Computer Science, page 350-355. Springer, (2012)Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation., , , , , , and . IJCNLP(1), page 462-472. Asian Federation of Natural Language Processing, (2017)On Available Corpora for Empirical Methods in Vision & Language., , , , , , and . CoRR, (2015)Generating Natural Questions About an Image., , , , , and . ACL (1), The Association for Computer Linguistics, (2016)Learning Semantically Rich Event Inference Rules Using Definition of Verbs., and . CICLing (1), volume 9041 of Lecture Notes in Computer Science, page 402-416. Springer, (2015)A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories., , , , , , , and . CoRR, (2016)Generating Natural Questions About an Image., , , , , , and . CoRR, (2016)