While pre-trained language models (PLMs) have shown evidence of acquirin...
Data-driven predictive solutions predominant in commercial applications ...
Many recent perturbation studies have found unintuitive results on what ...
Providing better language tools for low-resource and endangered language...
Recent research analyzing the sensitivity of natural language understand...
Popular approaches for minimizing loss in data-driven learning often inv...
Predicting the next utterance in dialogue is contingent on encoding of u...
Neural models trained for next utterance generation in dialogue task lea...
Rapid progress in Neural Machine Translation (NMT) systems over the last...
Natural Language Understanding has witnessed a watershed moment with the...
Task-oriented dialogue systems help users accomplish tasks such as booki...
Though generative dialogue modeling is widely seen as a language modelin...
Evaluating the quality of a dialogue interaction between two agents is a...
Current conversational systems can follow simple commands and answer bas...
The use of connectionist approaches in conversational agents has been
pr...
We propose a software architecture designed to ease the implementation o...