25 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling
Soyeon Caren Han, Siqu Long, Huichun Li +2
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks proceeded independently. However, more recently joint…
cs.CL2021
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Henry Weld, Guanghao Huang, Jean Lee +6
Traditional toxicity detection models have focused on the single utterance level without deeper understanding of context. We introduce CONDA, a new dataset for in-game toxic langua…
cs.CL2021★ 25 cited
A survey of joint intent detection and slot-filling models in natural language understanding
H. Weld, X. Huang, S. Long +2
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks have been deemed to proceed independently. However, mo…