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Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.

Source: Open Data Chatbot

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Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

Recipes for building an open-domain chatbot

28 Apr 2020huggingface/transformers

Building open-domain chatbots is a challenging area for machine learning research.

CHATBOT

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.

CHATBOT VISUAL DIALOG

End-to-End Task-Completion Neural Dialogue Systems

IJCNLP 2017 MiuLab/UserSimulator

One of the major drawbacks of modularized task-completion dialogue systems is that each module is trained individually, which presents several challenges.

CHATBOT

Deep Learning Based Chatbot Models

23 Aug 2019ricsinaruto/Seq2seqChatbots

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.

CHATBOT LANGUAGE MODELLING MACHINE TRANSLATION

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

ACL 2018 baidu/Dialogue

Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.

CHATBOT CONVERSATIONAL RESPONSE SELECTION

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

30 Jun 2020PaddlePaddle/Knover

To build a high-quality open-domain chatbot, we introduce the effective training process of PLATO-2 via curriculum learning.

 Ranked #1 on Chatbot on 10 Monkey Species (using extra training data)

CHATBOT CURRICULUM LEARNING

Deep Reinforcement Learning for Dialogue Generation

EMNLP 2016 liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

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.

CHATBOT DIALOGUE GENERATION POLICY GRADIENT METHODS

Subword Semantic Hashing for Intent Classification on Small Datasets

16 Oct 2018kumar-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 CLASSIFICATION INTENT CLASSIFICATION TEXT CLASSIFICATION WORD EMBEDDINGS

XPersona: Evaluating Multilingual Personalized Chatbot

17 Mar 2020HLTCHKUST/Xpersona

Experimental results show that the multilingual trained models outperform the translation-pipeline and that they are on par with the monolingual models, with the advantage of having a single model across multiple languages.

CHATBOT