Chatbot
168 papers with code • 0 benchmarks • 8 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 implementationsDatasets
Blended Skill Talk
Taiga Corpus
Most implemented papers
Evaluating Natural Language Understanding Services for Conversational Question Answering Systems
Conversational interfaces recently gained a lot of attention.
Enterprise to Computer: Star Trek chatbot
GJena/CIS-700-7_Chatbot-Project
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In this work, we propose a design for a chatbot that captures the "style" of Star Trek by incorporating references from the show along with peculiar tones of the fictional characters therein.
A Two-Layer Dialogue Framework For Authoring Social Bots
We experimented with a range of conversational activities, such as providing news and playing games, and strategies for controlling the dialogue flow.
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learned from a resource-rich source domain to a resource- poor target domain.
An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems
We introduce an ontology-based dialogue manage(OntoDM), a dialogue manager that keeps the state of the conversation, provides a basis for anaphora resolution and drives the conversation via domain ontologies.
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
murtrax/Self-Feeding-Chatbot-With-Context-Aware-Questions
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ACL 2019
As our agent engages in conversation, it also estimates user satisfaction in its responses.
Exploiting Persona Information for Diverse Generation of Conversational Responses
Giving conversational context with persona information to a chatbot, how to exploit the information to generate diverse and sustainable conversations is still a non-trivial task.
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning
lingo-iitgn/emocontext-19
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SEMEVAL 2019
Recent advancements in Internet and Mobile infrastructure have resulted in the development of faster and efficient platforms of communication.
Training Neural Response Selection for Task-Oriented Dialogue Systems
Despite their popularity in the chatbot literature, retrieval-based models have had modest impact on task-oriented dialogue systems, with the main obstacle to their application being the low-data regime of most task-oriented dialogue tasks.
