Recent development in NLP shows a strong trend towards refining pre-trained models with a
domain-specific dataset. This is especially the case for response generation where emotion …

Empathetic dialog generation aims at generating coherent responses following previous
dialog turns and, more importantly, showing a sense of caring and a desire to help. Existing …

We present three enhancements to existing encoder-decoder models for open-domain
conversational agents, aimed at effectively modeling coherence and promoting output …

Abstract Empathetic Response Generation (ERG) in dialog agents has gained tremendous
attention in the recent past. Among various methods used to impart empathy in the …

We describe our Alexa prize system (called 'Alana') which consists of an ensemble of bots,
combining rule-based and machine learning systems, and using a contextual ranking …

We experiment with adapting generative language models for the generation of long
coherent narratives in the form of theatre plays. Since fully automatic generation of whole …

Recent works in neural machine translation have begun to explore document translation.
However, translating online multi-speaker conversations is still an open problem. In this …

Neural conversational models require substantial amounts of dialogue data for their
parameter estimation and are therefore usually learned on large corpora such as chat …

As synthetic voices become more flexible, and conversational systems gain more potential
to adapt to the environmental and social situation, the question needs to be examined, how …

Semantic textual similarity methods are becoming increasingly crucial in text mining
research areas such as text retrieval and summarization. Existing methods of text similarity …