Natural Language Processing
We outline three research directions towards the practical implementation of explainable, sensible and virtuous chatbots for the …
As producing high-quality summaries of chat dialogues currently requires large labeled datasets, we propose a method to efficiently …
End-to-end interactive learning of dialogue systems has been all-but-abandoned in favour of other approaches using more labelled data, …
The ALFRED environment features embodied instruction following tasks in simulated home environments. However, end-to-end deep learning …
Data augmentation alleviates the problem of data scarcity when training language models (LMs) by generating new examples based on the …
Compositionality, or the ability to combine familiar units like words into novel phrases and sentences, has been the focus of intense …
Prompt tuning has recently emerged as an effective method for adapting pre-trained language models to a number of language tasks. In …
Geoscientists use observations and descriptions of the rock record to study the origins and history of our planet, which has resulted …
Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of …
In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of …