2 citations · 4 across the 8 of their papers we have counts for
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cs.CL2019
Why Attention? Analyzing and Remedying BiLSTM Deficiency in Modeling Cross-Context for NER
Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma
State-of-the-art approaches of NER have used sequence-labeling BiLSTM as a core module. This paper formally shows the limitation of BiLSTM in modeling cross-context patterns. Two t…
cs.CL2019★ 2 cited
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma
BiLSTM has been prevalently used as a core module for NER in a sequence-labeling setup. State-of-the-art approaches use BiLSTM with additional resources such as gazetteers, languag…
cs.CL2019
CA-EHN: Commonsense Analogy from E-HowNet
Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma
Embedding commonsense knowledge is crucial for end-to-end models to generalize inference beyond training corpora. However, existing word analogy datasets have tended to be handcraf…