Conversational Corpus

Conversational corpora are collections of transcribed human conversations used to train and evaluate AI models for natural language understanding and generation. Current research focuses on creating corpora that are diverse in terms of language, geographic region, and demographic representation, as well as those grounded in structured knowledge bases like Wikidata to improve knowledge-based conversational AI. These corpora are crucial for advancing research in areas such as detecting cognitive impairment, building robust customer service applications, and developing more inclusive and accurate language models. The development of standardized tools and methodologies for corpus creation and analysis is also a key area of focus, enabling greater reproducibility and comparability of research findings.