Oct 2, 2020 · We propose a neural network method incorporating the temporal cues to AC-GCN (Augmented Contextualized Graph Convolutional Network) to classify temporal ...
Temporal relation classification, an important branch of relation extraction, aims to identify the time sequence among events.
Oct 14, 2020 · We propose a neural network method incorporating the temporal cues to AC-GCN (Augmented Contextualized Graph Convolutional Network) to classify temporal ...
Temporal relation classification, an important branch of relation extraction, aims to identify the time sequence among events.
Incorporating Temporal Cues and AC-GCN to Improve Temporal Relation Classification. X. Zhou, P. Li, Q. Zhu, and F. Kong. NLPCC (1), volume 12430 of Lecture ...
Incorporating Temporal Cues and AC-GCN to Improve ... - 万方数据
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摘要： Temporal relation classification,an important branch of relation extrac-tion,aims to identify the time sequence among events.
Incorporating Temporal Cues and AC-GCN to Improve Temporal Relation Classification · Computer Science. Natural Language Processing and Chinese Computing · 2020.
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Incorporating Temporal Cues and AC-GCN to Improve Temporal Relation Classification. Xinyu Zhou, Peifeng Li, Qiaoming Zhu, Fang Kong. Pages 580-592. Download ...
To solve this problem, this paper proposes a neural architecture combining LSTM and GCN. This method can automatically extract features from word sequences and ...
Incorporating Temporal Cues and AC-GCN to Improve Temporal Relation Classification ... A neural network method incorporating the temporal cues to AC-GCN ...