As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Movie and TV subtitles are a highly valuable resource for the compilation of parallel corpora
thanks to their availability in large numbers and across many languages. However, the …

This article presents the results of a systematic review of the literature on dialogue-based
CALL, resulting in a conceptual framework for research on the matter. Applications allowing …

Summarization is an important natural language processing (NLP) task in identifying key
information from text. For conversations, the summarization systems need to extract salient …

A conversational agent (chatbot) is a piece of software that is able to communicate with
humans using natural language. Modeling conversation is an important task in natural …

Current state-of-the-art neural dialogue models learn from human conversations following
the data-driven paradigm. As such, a reliable training corpus is the crux of building a robust …

Curriculum learning, a machine training strategy that feeds training instances to the model
from easy to hard, has been proven to facilitate the dialogue generation task. Meanwhile …

Introducing variability while maintaining coherence is a core task in learning to generate
utterances in conversation. Standard neural encoder-decoder models and their extensions …

Effective dialogue involves grounding, the process of establishing mutual knowledge that is
essential for communication between people. Modern dialogue systems are not explicitly …