Traditionally, sparse retrieval systems relied on lexical representation...
As a subjective metric to evaluate the quality of synthesized speech, Me...
The imbalance between the supply and demand of healthcare resources is a...
Recent neural retrieval mainly focuses on ranking short texts and is
cha...
Detecting out-of-distribution (OOD) data is critical to building reliabl...
Depressive disorders constitute a severe public health issue worldwide.
...
Grounding dialogue system with external knowledge is a promising way to
...
Recent advances in NLP and information retrieval have given rise to a di...
Dense retrieval approaches can overcome the lexical gap and lead to
sign...
Learning sentence embeddings often requires large amount of labeled data...
In response generation task, proper sentimental expressions can obviousl...
Autoencoders have been widely used for dimensional reduction and feature...
Recent work has shown that memory modules are crucial for the generaliza...