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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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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)On Available Corpora for Empirical Methods in Vision & Language., , , , , , and . CoRR, (2015)Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation., , , , , , and . IJCNLP(1), page 462-472. Asian Federation of Natural Language Processing, (2017)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)GLUCOSE: GeneraLized and COntextualized Story Explanations., , , , , , and . EMNLP (1), page 4569-4586. Association for Computational Linguistics, (2020)Pazesh: A Graph-Based Approach to Increase Readability of Automatic Text Summaries., , , and . Canadian Conference on AI, volume 6657 of Lecture Notes in Computer Science, page 313-318. Springer, (2011)Tackling the Story Ending Biases in The Story Cloze Test., , , and . ACL (2), page 752-757. Association for Computational Linguistics, (2018)CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures., , , , and . EVENTS@HLT-NAACL, page 51-61. Association for Computational Linguistics, (2016)Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next., , , , and . RepEval@ACL, page 24-29. Association for Computational Linguistics, (2016)LSDSem 2017 Shared Task: The Story Cloze Test., , , , and . LSDSem@EACL, page 46-51. Association for Computational Linguistics, (2017)