• Corpus ID: 209092287

KINO: an approach for rule-based chatbot development, monitoring and evaluation

  title={KINO: an approach for rule-based chatbot development, monitoring and evaluation},
  author={Thiago Carvalho D'{\'A}vila},
Chatbots are software conversational agents invented in the 1960’s that answer in human language. There are still many challenges and opportunities to be explored, even though more than fifty years have gone by since the first chatbot was created. The aim of this research is to develop the implementation, evaluation, and monitoring for a rule-based chatbot. Having this in mind, KINO, a bot that answers questions about movies, was developed. KINO’s architecture is presented, along with… 

Comparing users' perception of different chatbot interaction paradigms: a case study

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A literature review of quality issues and attributes as they relate to the contemporary issue of chatbot development and implementation is presented, and a quality assessment method based on these attributes and the Analytic Hierarchy Process is proposed and examined.

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Survey on Chatbot Design Techniques in Speech Conversation Systems

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Enhancing Community Interactions with Data-Driven Chatbots--The DBpedia Chatbot

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Bots as Language Learning Tools

Online chatbots could provide a means of language practice for students anytime and virtually anywhere and should be brought into the FLL classroom as a permanent tool for language practice.

A Normalizer for UGC in Brazilian Portuguese

UGCNormal is presented, a lexicon-based tool for UGC normalization that encompasses a tokenizer, a sentence segmentation tool, a phonetic-based speller and some lexicons, which were originated from a deep analysis of a corpus of product reviews in Brazilian Portuguese.

Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval

This paper builds a multi-instance SVM classifier to automatically classify live chat messages between human agents and buyers and finds that using class information along with the base dual encoder model helps in improving the quality of the retrieved responses in terms of BLEU scores.

A Retrieval-Based Dialogue System Utilizing Utterance and Context Embeddings

  • A. BartlGerasimos Spanakis
  • Computer Science
    2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • 2017
Experimental results on the well-known Ubuntu Corpus and a customer service chat dataset show that, in combination with a candidate selection method, retrieval-based approaches outperform generative ones and reveal promising future research directions towards the usability of such a system.

Representando o conhecimento através de ontologias: o caso do chatterbot Lunmi

This work presents a chatterbot named Lunmi, which purpose is to answer questions about a scientific electronic journal available in a site, which was supported by the ALICE technology and AIML language.