Conversational Agents and Natural Language Interaction: Techniques and Effective Practices

111 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Ethical and social risks of harm from Language Models (2021, background): “LAs that are optimised to engage a person in direct dialogue are also referred to as “Conversational Agents” (CAs) (Perez-Marin and Pascual-Nieto, 2011).”
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version (2015, background): “In comparison to the rule-based systems, these systems have had limited success (Perez-Marin and Pascual-Nieto, 2011; Shawar and Atwell, 2007b).”
Topic Aware Neural Response Generation (2016, background): “Dialog systems aim to help people complete specific tasks such as ordering and tutoring, while chatbots are designed for realizing natural and human-like conversation with people regarding to a wide range of issues in open domains (Perez-Marin 2011).”
Taxonomy of Risks posed by Language Models (2022, background): “This section focuses on risks specifically from LM applications that engage a user via dialogue, also referred to as conversational agents (CAs) [142].”
An overview of the features of chatbots in mental health: A scoping review (2019, background): “Artificial intelligence chatbots also need large health databases and corpora in ord er for them to be trained [50].”