17 citations · 32 across the 16 of their papers we have counts for
5 papers · 1 filter
Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
Jonggu Kim, Jong-Hyeok Lee
We propose two methods to capture relevant history information in a multi-turn dialogue by modeling inter-speaker relationship for spoken language understanding (SLU). Our methods…
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs
WonKee Lee, Junsu Park, Byung-Hyun Go +1
Recent approaches to the Automatic Post-Editing (APE) research have shown that better results are obtained by multi-source models, which jointly encode both source (src) and machin…
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding
Jonggu Kim, Jong-Hyeok Lee
To capture salient contextual information for spoken language understanding (SLU) of a dialogue, we propose time-aware models that automatically learn the latent time-decay functio…
Self-Attention-Based Message-Relevant Response Generation for Neural Conversation Model
Jonggu Kim, Doyeon Kong, Jong-Hyeok Lee
Using a sequence-to-sequence framework, many neural conversation models for chit-chat succeed in naturalness of the response. Nevertheless, the neural conversation models tend to g…
Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification
Jonggu Kim, Jong-Hyeok Lee
Most of neural approaches to relation classification have focused on finding short patterns that represent the semantic relation using Convolutional Neural Networks (CNNs) and thos…