Chatbot

10 papers with code · Natural Language Processing

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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

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 DEEP ATTENTION DIALOGUE GENERATION MACHINE TRANSLATION

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

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

23 Nov 2017jefferyYu/WSDM18_codes

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

WS 2019 jobpal/nex-cv

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.

CHATBOT TEXT CLASSIFICATION

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.

CHATBOT INTENT DETECTION WORD EMBEDDINGS

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.

CHATBOT