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
Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
Our method is used to evaluate four state-of-the-art open-domain dialogue systems and compared with existing approaches.
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
CAiRE: An Empathetic Neural Chatbot
In this paper, we present an end-to-end empathetic conversation agent CAiRE.
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
HanbaekLyu/RNN_NMF_chatbot
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We propose a novel model for a topic-aware chatbot by combining the traditional Recurrent Neural Network (RNN) encoder-decoder model with a topic attention layer based on Nonnegative Matrix Factorization (NMF).
Towards a Human-like Open-Domain Chatbot
We present Meena, a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations.
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
bangliu/ACS-QG
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In this paper, we propose Answer-Clue-Style-aware Question Generation (ACS-QG), which aims at automatically generating high-quality and diverse question-answer pairs from unlabeled text corpus at scale by imitating the way a human asks questions.
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions
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Proceedings of the Australasian Computer Science Week Multi-conference (ACSW 2020) 2020
This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model.
Seq2Seq AI Chatbot with Attention Mechanism
Intelligent Conversational Agent development using Artificial Intelligence or Machine Learning technique is an interesting problem in the field of Natural Language Processing.
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
This enables the development of personalized dialogue models that directly learn implicit user personality from the user's dialogue history.
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
Is chatbot able to completely replace the human agent?
