Chatbot
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Greatest papers with code
Visual Dialog
CVPR 2017
• facebookresearch/ParlAI
• 
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content.
Deep Learning Based Chatbot Models
• ricsinaruto/Seq2seqChatbots
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Finally, I conduct a detailed analysis of how the vanilla model performs on conversational data by comparing it to previous chatbot models and how the additional features affect the quality of the generated responses.
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.
CHATBOT DEEP ATTENTION DIALOGUE GENERATION MACHINE TRANSLATION
Deep Reinforcement Learning for Dialogue Generation
EMNLP 2016
• liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow
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Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on future outcomes.
Subword Semantic Hashing for Intent Classification on Small Datasets
• kumar-shridhar/Know-Your-Intent
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchmarks.
CHATBOT INTENT CLASSIFICATION TEXT CLASSIFICATION WORD EMBEDDINGS
Jointly Optimizing Diversity and Relevance in Neural Response Generation
NAACL 2019 • golsun/SpaceFusion
In this paper, we propose a SpaceFusion model to jointly optimize diversity and relevance that essentially fuses the latent space of a sequence-to-sequence model and that of an autoencoder model by leveraging novel regularization terms.
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.
CHATBOT NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING TRANSFER LEARNING
Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples
We describe and validate a metric for estimating multi-class classifier performance based on cross-validation and adapted for improvement of small, unbalanced natural-language datasets used in chatbot design.
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
CONLL 2018 • swisscom/churn-intent-DE
To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.
A Two-Layer Dialogue Framework For Authoring Social Bots
1st Proceedings of Alexa Prize (Alexa Prize 2017) 2017 • dk000000000/WiseMacawAI
We experimented with a range of conversational activities, such as providing news and playing games, and strategies for controlling the dialogue flow.