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Linguistically-Informed Self-Attention for Semantic Role Labeling.

, , , , and . EMNLP, page 5027-5038. Association for Computational Linguistics, (2018)

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Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema., , , , , , , , , and . TAC, NIST, (2016)Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches., , , , , and . TAC, NIST, (2015)Multilingual Relation Extraction using Compositional Universal Schema., , , , and . CoRR, (2015)Power Hungry Processing: Watts Driving the Cost of AI Deployment?, , and . CoRR, (2023)Comparing Span Extraction Methods for Semantic Role Labeling., , and . SPNLP@ACL-IJCNLP, page 67-77. Association for Computational Linguistics, (2021)Multilingual Relation Extraction using Compositional Universal Schema., , , , and . HLT-NAACL, page 886-896. The Association for Computational Linguistics, (2016)OLMo: Accelerating the Science of Language Models., , , , , , , , , and 33 other author(s). CoRR, (2024)DSI++: Updating Transformer Memory with New Documents., , , , , , , , and . CoRR, (2022)SQuAT: Sharpness- and Quantization-Aware Training for BERT., , , , and . CoRR, (2022)Measuring the Carbon Intensity of AI in Cloud Instances., , , , , , , , , and . FAccT, page 1877-1894. ACM, (2022)