Chatbot is a software providing a conversational interface. One of the applications for Chatbots in conversational search providing access to an information source, such as a database.

Source: Open Data 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.

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

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 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.

CHATBOT DIALOGUE GENERATION

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

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus

27 Jan 2020bangliu/ACS-QG

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.

CHATBOT MACHINE READING COMPREHENSION QUESTION-ANSWER-GENERATION QUESTION ANSWERING QUESTION GENERATION