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Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly.

, , , , , , , , , , , , , , , , , , and . CVPR, page 18793-18803. IEEE, (2024)

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An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering., and . EMNLP, page 369-378. The Association for Computational Linguistics, (2015)DRTS Parsing with Structure-Aware Encoding and Decoding., , , and . ACL, page 6818-6828. Association for Computational Linguistics, (2020)In-Order Transition-based Constituent Parsing., and . Trans. Assoc. Comput. Linguistics, (2017)Discourse Representation Parsing for Sentences and Documents., , and . ACL (1), page 6248-6262. Association for Computational Linguistics, (2019)Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing.. LREC/COLING, page 11486-11497. ELRA and ICCL, (2024)Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly., , , , , , , , , and 9 other author(s). CVPR, page 18793-18803. IEEE, (2024)Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing., , and . ACL, page 4547-4554. Association for Computational Linguistics, (2020)Encoder-Decoder Shift-Reduce Syntactic Parsing., and . IWPT, page 105-114. Association for Computational Linguistics, (2017)Text Generation from Discourse Representation Structures., , and . NAACL-HLT, page 397-415. Association for Computational Linguistics, (2021)An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet., , and . IJCNLP, page 927-931. Asian Federation of Natural Language Processing / ACL, (2013)