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Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods.

, , и . EMNLP, стр. 2658-2663. Association for Computational Linguistics, (2017)

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Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention., , и . AKBC@NIPS, OpenReview.net, (2017)Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs., , и . AKBC@NIPS, OpenReview.net, (2017)MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction., , , , , , и . CoRR, (2018)InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions., , , , и . AAAI, стр. 3009-3016. AAAI Press, (2020)TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs., , , , , и . EACL, стр. 2041-2052. Association for Computational Linguistics, (2023)AD3: Attentive Deep Document Dater., , и . EMNLP, стр. 1871-1880. Association for Computational Linguistics, (2018)Graph-based Deep Learning in Natural Language Processing., , и . EMNLP/IJCNLP (2), Association for Computational Linguistics, (2019)MergeDistill: Merging Language Models using Pre-trained Distillation., , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2874-2887. Association for Computational Linguistics, (2021)OKGIT: Open Knowledge Graph Link Prediction with Implicit Types., и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2546-2559. Association for Computational Linguistics, (2021)Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks., , , , , и . ACL (1), стр. 3308-3318. Association for Computational Linguistics, (2019)