Chatbot
85 papers with code • 0 benchmarks • 5 datasets
Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.
Source: Open Data Chatbot
Benchmarks
These leaderboards are used to track progress in Chatbot
Libraries
Use these libraries to find Chatbot models and implementations
Blended Skill Talk
Taiga Corpus
Latest papers with no code
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots
In addition, by integrating a once-through learning approach, the speed of semantics purification is accelerated while reducing the impact on the quality of replies.
Implementing a Chatbot Solution for Learning Management System
Innovation is a key component in trying new solutions for the students to learn efficiently and in ways that correspond to their own experience, where chatbots are one of these new solutions.
Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain
Visual representation of data like charts and tables can be challenging to understand for readers.
Making the case for audience design in conversational AI: Rapport expectations and language ideologies in a task-oriented chatbot
This paper argues that insights into users' language ideologies and their rapport expectations can be used to inform the audience design of the bot's language and interaction patterns and ensure equitable access to the services provided by bots.
AI Based Chatbot: An Approach of Utilizing On Customer Service Assistance
This system will work based on the text as a conversational agent that can interact with humans by natural language.
Jewelry Shop Conversational Chatbot
Since the advent of chatbots in the commercial sector, they have been widely employed in the customer service department.
Natural Language Sentence Generation from API Specifications
APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks.
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines
Public trust in medical information is crucial for successful application of public health policies such as vaccine uptake.
AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations
The knowledge captured in this graph bears potential for conversational systems to understand how people offer acknowledgement, consoling, and a wide range of empathetic responses in social conversations.
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e. g., intents and slots); (ii) poor controllability and interpretability; (iii) annotation-hungry.
