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QGASP: a Framework for Question Generation Based on Different Levels of Linguistic Information.

, , and . INLG, page 242-243. The Association for Computer Linguistics, (2016)

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Lexicons., , , , , , , , , and 2 other author(s). Mach. Transl., 4 (1): 67-112 (1989)Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models., , , and . CoRR, (2017)Towards Inference-Oriented Reading Comprehension: ParallelQA., , , and . CoRR, (2018)QUADS: question answering for decision support., , , and . SIGIR, page 375-384. ACM, (2014)Learning Algorithms for Domain Adaptation., and . ACML, volume 5828 of Lecture Notes in Computer Science, page 293-307. Springer, (2009)Deriving Semantic Knowledge from Descriptive Texts Using an MT System., , , , , and . AMTA, volume 2499 of Lecture Notes in Computer Science, page 145-154. Springer, (2002)Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination., , , , and . CoRR, (2024)Learn-to-Race: A Multimodal Control Environment for Autonomous Racing., , , , , , , , , and . ICCV, page 9773-9782. IEEE, (2021)Investigating Utterance Level Representations for Detecting Intent from Acoustics., , , , and . INTERSPEECH, page 516-520. ISCA, (2018)Towards Automated Generation and Evaluation of Questions in Educational Domains., , , , , and . EDM, International Educational Data Mining Society, (2022)