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Syntax grounded graph convolutional network for joint entity and event extraction.

, , and . Neurocomputing, (2021)

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Energy aware virtual network embedding with dynamic demands., , , , and . ICC, page 5386-5391. IEEE, (2015)Topic-informed neural approach for biomedical event extraction., , and . Artif. Intell. Medicine, (2020)Syntax grounded graph convolutional network for joint entity and event extraction., , and . Neurocomputing, (2021)Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model., , , , and . IJCAI, page 5422-5428. ijcai.org, (2019)A semantic and syntactic enhanced neural model for financial sentiment analysis., , , , and . Inf. Process. Manag., 59 (4): 102943 (2022)A graph propagation model with rich event structures for joint event relation extraction., , , , , and . Inf. Process. Manag., 61 (5): 103811 (2024)Multi-task and multi-view training for end-to-end relation extraction., , , and . Neurocomputing, (2019)An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction., , , , , and . IEEE Access, (2024)A semantic model for academic social network analysis., , and . ASONAM, page 310-313. IEEE Computer Society, (2014)Inter- and intra-hypergraph regularized nonnegative matrix factorization with hybrid constraints., , and . Eng. Appl. Artif. Intell., (2024)