As Automatic Speech Processing (ASR) systems are getting better, there is an increasing
interest of using the ASR output to do downstream Natural Language Processing (NLP) …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

Few-shot learning arises in important practical scenarios, such as when a natural language
understanding system needs to learn new semantic labels for an emerging, resource-scarce …

Much recent work on Spoken Language Understanding (SLU) is limited in at least one of
three ways: models were trained on oracle text input and neglected ASR errors, models …

Open-domain dialogue systems aim to generate relevant, informative and engaging
responses. Seq2seq neural response generation approaches do not have explicit …

Collecting sufficient labeled data for spoken language understanding (SLU) is expensive
and time-consuming. Recent studies achieved promising results by using pre-trained …

The Spoken Language Understanding Evaluation (SLUE) suite of benchmark tasks was
recently introduced to address the need for open resources and benchmarking of complex …

We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …

End-to-end spoken language understanding (SLU) systems are gaining popularity over
cascaded approaches due to their simplicity and ability to avoid error propagation. However …

Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0
combines various neural natural language understanding modules, including named entity …