Resource Contributed by Jingqi Kang, Runzhe Wang.
- How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues (DSTC4)
NAACL 2018[pdf] [code]
| Name | Intro | Links | Detail | Size & Stats |
|---|---|---|---|---|
ATIS |
1. The ATIS (Airline Travel Information Systems) dataset (Tur et al., 2010) is widely used in SLU research 2. For natural language understanding | Download: 1.https://github.com/yizhen20133868/StackPropagation-SLU/tree/master/data/atis 2.https://github.com/yvchen/JointSLU/tree/master/data Paper: https://www.aclweb.org/anthology/H90-1021.pdf | Airline Travel Information However, this data set has been shown to have a serious skew problem on intent | Train: 4478 Test: 893 120 slot and 21 intent |
ATIS |
1. The ATIS (Airline Travel Information Systems) dataset (Tur et al., 2010) is widely used in SLU research 2. For natural language understanding | Download: 1.https://github.com/yizhen20133868/StackPropagation-SLU/tree/master/data/atis 2.https://github.com/yvchen/JointSLU/tree/master/data Paper: https://www.aclweb.org/anthology/H90-1021.pdf | Airline Travel Information However, this data set has been shown to have a serious skew problem on intent | Train: 4478 Test: 893 120 slot and 21 intent |