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A Case Study on Learning a Unified Encoder of Relations.

, , , and . NUT@EMNLP, page 202-207. Association for Computational Linguistics, (2018)

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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)BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning., , , , , , and . ICLR (Poster), OpenReview.net, (2019)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)Extending Event Detection to New Types with Learning from Keywords., and . W-NUT@EMNLP, page 243-248. Association for Computational Linguistics, (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)Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching., and . EMNLP, page 4822-4828. Association for Computational Linguistics, (2018)Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network., , , and . IJCNLP(2), page 425-429. Asian Federation of Natural Language Processing, (2017)BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript., , , and . NAACL-HLT (Findings), page 1943-1951. Association for Computational Linguistics, (2022)Dictionary-Guided Scene Text Recognition., , , , , , and . CVPR, page 7383-7392. Computer Vision Foundation / IEEE, (2021)