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BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning., , , , , , and . ICLR (Poster), OpenReview.net, (2019)BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop., , , , , , and . CoRR, (2018)Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text., , , and . PAKDD (1), volume 6634 of Lecture Notes in Computer Science, page 512-524. Springer, (2011)BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript., , , and . NAACL-HLT (Findings), page 1943-1951. Association for Computational Linguistics, (2022)One for All: Neural Joint Modeling of Entities and Events., and . AAAI, page 6851-6858. AAAI Press, (2019)Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction., , , , , , , , and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 703-715. Springer, (2021)Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks., and . W-NUT, page 46-55. Association for Computational Linguistics, (2021)Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network., , , and . IJCNLP(2), page 425-429. Asian Federation of Natural Language Processing, (2017)Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey., , , , , , , , and . ACM Comput. Surv., 56 (2): 30:1-30:40 (February 2024)Extending Event Detection to New Types with Learning from Keywords., and . W-NUT@EMNLP, page 243-248. Association for Computational Linguistics, (2019)