In recent studies, linear recurrent neural networks (LRNNs) have achieve...
Dialogue discourse parsing aims to uncover the internal structure of a
m...
We present PESCO, a novel contrastive learning framework that substantia...
Unlike recurrent models, conventional wisdom has it that Transformers ca...
Length extrapolation is a desirable property that permits training a
tra...
Recent advancements in dialogue response selection (DRS) are based on th...
While deep generative models have succeeded in image processing, natural...
Relative positional embeddings (RPE) have received considerable attentio...
Dialogue disentanglement aims to group utterances in a long and
multi-pa...
ALFRED is a recently proposed benchmark that requires a model to complet...
Automatic speech verification (ASV) is the technology to determine the
i...
In the vision and language navigation task, the agent may encounter ambi...
This paper introduces the first dataset for evaluating English-Chinese
B...
This paper proposes a modularized sense induction and representation lea...
Despite the success achieved on various natural language processing task...
Spoken language understanding (SLU) is an essential component in
convers...
Language understanding (LU) and dialogue policy learning are two essenti...