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Textual Entailment Features for Machine Translation Evaluation

, , , and . Proceedings of the EACL Workshop on Machine Translation, page 37--41. Athens, Greece, (2009)

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Hybrid natural language generation for spoken dialogue systems., , and . INTERSPEECH, page 1735-1738. ISCA, (2001)A Survey of Current Datasets for Vision and Language Research., , , , , , and . EMNLP, page 207-213. The Association for Computational Linguistics, (2015)Consistent Dialogue Generation with Self-supervised Feature Learning., , , , , , and . CoRR, (2019)A Persona-Based Neural Conversation Model., , , , and . CoRR, (2016)Dialog System Technology Challenge 7., , , , , , , , , and 7 other author(s). CoRR, (2019)Understanding Emotions in Text Using Deep Learning and Big Data., , , , , and . Computers in Human Behavior, (2019)deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets., , , , , , , , and . ACL (2), page 445-450. The Association for Computer Linguistics, (2015)Large-scale Expected BLEU Training of Phrase-based Reordering Models., , and . EMNLP, page 1250-1260. ACL, (2014)Joint Language and Translation Modeling with Recurrent Neural Networks., , , and . EMNLP, page 1044-1054. ACL, (2013)DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation., , , , , , , , and . CoRR, (2019)