Recent advances in conversational NLP : Towards the standardization of Chatbot building

2019/03/21 by Maâli Mnasri, Mnasri, Maali
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling

paper · pdf · doi:10.48550/arxiv.1903.09025

openalex publication_date 2019/03/21 · openalex created_date 2019/04/01 · openalex updated_date 2026/07/28

Abstract

Dialogue systems have become recently essential in our life. Their use is getting more and more fluid and easy throughout the time. This boils down to the improvements made in NLP and AI fields. In this paper, we try to provide an overview to the current state of the art of dialogue systems, their categories and the different approaches to build them. We end up with a discussion that compares all the techniques and analyzes the strengths and weaknesses of each. Finally, we present an opinion piece suggesting to orientate the research towards the standardization of dialogue systems building.

Citations

• A Neural Conversational Model
• A Survey of Available Corpora for Building Data-Driven Dialogue Systems
• A Network-based End-to-End Trainable Task-oriented Dialogue System
• An Attentional Neural Conversation Model with Improved Specificity
• Partially observable Markov decision processes for spoken dialog systems
• A Deep Reinforcement Learning Chatbot
• Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• Towards better decoding and language model integration in sequence to\n sequence models
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• Talking with Machines: A Comprehensive Survey of Emergent Dialogue Systems
• A Short Survey of Pre-trained Language Models for Conversational AI-A\n NewAge in NLP