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Enterprise Crowd Computing for Human Aided Chatbots. / Bozzon, Alessandro.

Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. New York, NY : Association for Computing Machinery (ACM), 2018. p. 29-30.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Bozzon, A 2018, Enterprise Crowd Computing for Human Aided Chatbots. in Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. Association for Computing Machinery (ACM), New York, NY, pp. 29-30, SE4COG 2018, Gothenburg, Sweden, 28/05/18. https://doi.org/10.1145/3195555.3195566

APA

Bozzon, A. (2018). Enterprise Crowd Computing for Human Aided Chatbots. In Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services (pp. 29-30). New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/3195555.3195566

Vancouver

Bozzon A. Enterprise Crowd Computing for Human Aided Chatbots. In Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. New York, NY: Association for Computing Machinery (ACM). 2018. p. 29-30 https://doi.org/10.1145/3195555.3195566

Author

Bozzon, Alessandro. / Enterprise Crowd Computing for Human Aided Chatbots. Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services. New York, NY : Association for Computing Machinery (ACM), 2018. pp. 29-30

BibTeX

@inproceedings{de0c9ece9d6d48d8ab300d91f5f6e105,
title = "Enterprise Crowd Computing for Human Aided Chatbots",
abstract = "chatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional,and conversational services. Despite their widespread adoption, chatbots still suffer from a number of performance issue due to limitations with their programming and training. In this paper we discuss Human Aided Chatbots, i.e. chatbots that rely on humans in the loop to operate. Human Aided Chatbots exploit human intelligence, brought for instance by crowd workers or full-time employees, to fill the gaps caused by limitations of fully automated solutions. A recent example of Human Aided Chatbots is Facebook M. To achieve broader adoption, Human Aided Chatbots must overcome a number of issues, including scalability, low-latency, and privacy. In this short paper, we discuss how Crowd Computing performed in the enterprise could help overcoming such issues. We present some recentfi ndings in thefi eld of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computingdesigned for gathering training data for cognitive systems.",
keywords = "Crowd Computing, Chatbot, Human Aided Chatbots",
author = "Alessandro Bozzon",
note = "Accepted author manuscript",
year = "2018",
doi = "10.1145/3195555.3195566",
language = "English",
pages = "29--30",
booktitle = "Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - Enterprise Crowd Computing for Human Aided Chatbots

AU - Bozzon, Alessandro

N1 - Accepted author manuscript

PY - 2018

Y1 - 2018

N2 - chatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional,and conversational services. Despite their widespread adoption, chatbots still suffer from a number of performance issue due to limitations with their programming and training. In this paper we discuss Human Aided Chatbots, i.e. chatbots that rely on humans in the loop to operate. Human Aided Chatbots exploit human intelligence, brought for instance by crowd workers or full-time employees, to fill the gaps caused by limitations of fully automated solutions. A recent example of Human Aided Chatbots is Facebook M. To achieve broader adoption, Human Aided Chatbots must overcome a number of issues, including scalability, low-latency, and privacy. In this short paper, we discuss how Crowd Computing performed in the enterprise could help overcoming such issues. We present some recentfi ndings in thefi eld of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computingdesigned for gathering training data for cognitive systems.

AB - chatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional,and conversational services. Despite their widespread adoption, chatbots still suffer from a number of performance issue due to limitations with their programming and training. In this paper we discuss Human Aided Chatbots, i.e. chatbots that rely on humans in the loop to operate. Human Aided Chatbots exploit human intelligence, brought for instance by crowd workers or full-time employees, to fill the gaps caused by limitations of fully automated solutions. A recent example of Human Aided Chatbots is Facebook M. To achieve broader adoption, Human Aided Chatbots must overcome a number of issues, including scalability, low-latency, and privacy. In this short paper, we discuss how Crowd Computing performed in the enterprise could help overcoming such issues. We present some recentfi ndings in thefi eld of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computingdesigned for gathering training data for cognitive systems.

KW - Crowd Computing

KW - Chatbot

KW - Human Aided Chatbots

U2 - 10.1145/3195555.3195566

DO - 10.1145/3195555.3195566

M3 - Conference contribution

SP - 29

EP - 30

BT - Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services

PB - Association for Computing Machinery (ACM)

CY - New York, NY

ER -

ID: 50084341