Knowledge-Base Optimization to Reduce the Response Time of Bangla Chatbot

Kowsher, Md.; Tahabilder, Anik; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan; Sarker, Md. Murad Hossain

doi:10.1109/icievicivpr48672.2020.9306602

Cited by 9 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The consensus is that a user wants responses as quickly as possible, and for the interaction to be as efficient as possible in terms of session time. The focus is often on the mechanics of the model in question, rather than the effect that response time could have on user satisfaction [74].…”

Section: Response Time Costmentioning

confidence: 99%

Task-Oriented Dialogue Systems: Performance vs Quality-Optima, A Review

Fellows¹,

Ihshaish²,

Battle³

et al. 2022

Computer Science and Information Technology

View full text Add to dashboard Cite

Task-oriented dialogue systems (TODS) – designed to assist users to achieve a goal – are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS have not yet reached their full potential. TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority. Other conversational quality attributes that may point to the success, or otherwise, of the dialogue, are usually ignored. This can harm the interactions between the human and the dialogue system leaving the user dissatisfied or frustrated. This paper explores the role of conversational quality attributes within dialogue systems, looking at if, how, and where they are utilised, and examining their correlation with the performance of the dialogue system.

show abstract

Section: Response Time Costmentioning

confidence: 99%

Task-Oriented Dialogue Systems: Performance vs Quality-Optima, A Review

Fellows¹,

Ihshaish²,

Battle³

et al. 2022

Computer Science and Information Technology

View full text Add to dashboard Cite

show abstract

“…This proposal came up from the idea of edge computing in cloud technologies. Edge computing plays a big role in reducing networking pressure and service response time, improving the performance of low-power devices [15]. The authors of [16] introduce the response time as one of the attributes that play a role in users' satisfaction.…”

Section: Related Workmentioning

confidence: 99%

A Conversation History-Based Q&A Cache Mechanism for Multi-Layered Chatbot Services

Makhkamova

Kim

2021

Applied Sciences

View full text Add to dashboard Cite

Chatbot technologies have made our lives easier. To create a chatbot with high intelligence, a significant amount of knowledge processing is required. However, this can slow down the reaction time; hence, a mechanism to enable a quick response is needed. This paper proposes a cache mechanism to improve the response time of the chatbot service; while the cache in CPU utilizes the locality of references within binary code executions, our cache mechanism for chatbots uses the frequency and relevance information which potentially exists within the set of Q&A pairs. The proposed idea is to enable the broker in a multi-layered structure to analyze and store the keyword-wise relevance of the set of Q&A pairs from chatbots. In addition, the cache mechanism accumulates the frequency of the input questions by monitoring the conversation history. When a cache miss occurs, the broker selects a chatbot according to the frequency and relevance, and then delivers the query to the selected chatbot to obtain a response for answer. This mechanism showed a significant increase in the cache hit ratio as well as an improvement in the average response time.

show abstract

Section: Response Timementioning

confidence: 99%

Task-oriented Dialogue Systems: performance vs. quality-optima, a review

Fellows,

Ihshaish,

Battle

et al. 2021

Preprint

View full text Add to dashboard Cite

Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full potential. TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority. Other conversational quality attributes that may point to the success, or otherwise, of the dialogue, may be ignored. This can cause interactions between human and dialogue system that leave the user dissatisfied or frustrated. This paper explores the literature on evaluative frameworks of dialogue systems and the role of conversational quality attributes in dialogue systems, looking at if, how, and where they are utilised, and examining their correlation with the performance of the dialogue system.

show abstract

Knowledge-Base Optimization to Reduce the Response Time of Bangla Chatbot

Cited by 9 publications

References 11 publications

Task-Oriented Dialogue Systems: Performance vs Quality-Optima, A Review

Task-Oriented Dialogue Systems: Performance vs Quality-Optima, A Review

A Conversation History-Based Q&A Cache Mechanism for Multi-Layered Chatbot Services

Task-oriented Dialogue Systems: performance vs. quality-optima, a review

Contact Info

Product

Resources

About