Large-scale Exploration of Neural Relation Classification Architectures

EMNLP 2018 Hoang-Quynh LeDuy-Cat CanSinh T. VuThanh Hai DangMohammad Taher PilehvarNigel Collier

Experimental performance on the task of relation classification has generally improved using deep neural network architectures. One major drawback of reported studies is that individual models have been evaluated on a very narrow range of datasets, raising questions about the adaptability of the architectures, while making comparisons between approaches difficult... (read more)

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