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20202022
most citedDensity-Based Dynamic Curriculum Learning for Intent Detection

13 citations · 17 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2022

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

Xiangyu Xi, Jianwei Lv, Shuaipeng Liu +3

Event detection (ED) identifies and classifies event triggers from unstructured texts, serving as a fundamental task for information extraction. Despite the remarkable progress ach…

cs.CL2022

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example

Xiangyu Xi, Chenxu Lv, Yuncheng Hua +5

Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e.g., intents and slots); (ii) poor c…

cs.CL2022

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss

Yantao Gong, Cao Liu, Fan Yang +5

Data-driven methods have achieved notable performance on intent detection, which is a task to comprehend user queries. Nonetheless, they are controversial for over-confident predic…

cs.CL202113 cited

Density-Based Dynamic Curriculum Learning for Intent Detection

Yantao Gong, Cao Liu, Jiazhen Yuan +6

Pre-trained language models have achieved noticeable performance on the intent detection task. However, due to assigning an identical weight to each sample, they suffer from the ov…

cs.CL2020

Learning Speaker Embedding with Momentum Contrast

Ke Ding, Xuanji He, Guanglu Wan

Speaker verification can be formulated as a representation learning task, where speaker-discriminative embeddings are extracted from utterances of variable lengths. Momentum Contra…