There is a resurgent interest in developing intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …

Spurred by advancements in scale, large language models (LLMs) have demonstrated the
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …

We describe the setting and results of the ConvAI2 NeurIPS competition that aims to further
the state-of-the-art in open-domain chatbots. Some key takeaways from the competition …

Messages in human conversations inherently convey emotions. The task of detecting
emotions in textual conversations leads to a wide range of applications such as opinion …

General-purpose pretrained sentence encoders such as BERT are not ideal for real-world
conversational AI applications; they are computationally heavy, slow, and expensive to train …

Though great progress has been made for human-machine conversation, current dialogue
system is still in its infancy: it usually converses passively and utters words more as a matter …