TY - JOUR
T1 - User Utterance Acquisition for Training Task-Oriented Bots
T2 - A Review of Challenges, Techniques and Opportunities
AU - Yaghoub-Zadeh-Fard, Mohammad Ali
AU - Benatallah, Boualem
AU - Casati, Fabio
AU - Barukh, Moshe Chai
AU - Zamanirad, Shayan
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Building conversational task-oriented bots requires large and diverse sets of annotated user utterances to learn mappings between natural language utterances and user intents. Given the complexity of human language as well as the recent advances on intent recognition (especially deep-learning-based approaches), bot developers now have faced a new challenge: efficiently and effectively collecting a large number of quality (e.g., diverse and unbiased) training samples. This article studies training user utterance acquisition along several important dimensions including cost and quality. We discuss state of the art techniques, identify open issues, and inform an outlook on future research directions.
AB - Building conversational task-oriented bots requires large and diverse sets of annotated user utterances to learn mappings between natural language utterances and user intents. Given the complexity of human language as well as the recent advances on intent recognition (especially deep-learning-based approaches), bot developers now have faced a new challenge: efficiently and effectively collecting a large number of quality (e.g., diverse and unbiased) training samples. This article studies training user utterance acquisition along several important dimensions including cost and quality. We discuss state of the art techniques, identify open issues, and inform an outlook on future research directions.
KW - Task-Oriented Bots
KW - Training Data
UR - http://www.scopus.com/inward/record.url?scp=85081398235&partnerID=8YFLogxK
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U2 - 10.1109/MIC.2020.2978157
DO - 10.1109/MIC.2020.2978157
M3 - Review article
AN - SCOPUS:85081398235
VL - 24
SP - 30
EP - 38
JO - IEEE Internet Computing
JF - IEEE Internet Computing
SN - 1089-7801
IS - 3
M1 - 9022888
ER -