79 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

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Use these libraries to find Chatbot models and implementations

Most implemented papers

End-to-End Task-Completion Neural Dialogue Systems

MiuLab/TC-Bot IJCNLP 2017

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

Visual Dialog

batra-mlp-lab/visdial-amt-chat CVPR 2017

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 Reinforcement Learning for Dialogue Generation

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

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.

Recipes for building an open-domain chatbot

facebookresearch/ParlAI EACL 2021

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

Subword Semantic Hashing for Intent Classification on Small Datasets

kumar-shridhar/Know-Your-Intent 16 Oct 2018

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.

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

baidu/Dialogue ACL 2018

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

CAiRE: An Empathetic Neural Chatbot

ACE-VSIT/ACE-Ampethatic_bot 28 Jul 2019

In this paper, we present an end-to-end empathetic conversation agent CAiRE.

Towards a Human-like Open-Domain Chatbot

nawnoes/pytorch-meena 27 Jan 2020

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 27 Jan 2020

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.