TY - GEN
T1 - BEPT
T2 - 28th ACM International Conference on Information and Knowledge Management, CIKM 2019
AU - Qian, Chen
AU - Wen, Lijie
AU - Kumar, Akhil
N1 - Funding Information:
The work was supported by the National Key Research and Development Program of China (No. 2016YFB1001101), the National Nature Science Foundation of China (No.71690231, No.61472207), and Tsinghua BNRist. We also would like to thank anonymous reviewers for their helpful comments.
Publisher Copyright:
© 2019 Association for Computing Machiner
PY - 2019/11/3
Y1 - 2019/11/3
N2 - Sharing process models on the web has emerged as a common practice. Users can collect and share their experimental process models with others. However, some users always feel confused about the shared process models for lack of necessary guidelines or instructions. Therefore, several process translators have been proposed to explain the semantics of process models in natural language (NL). We find that previous studies suffer from information loss and generate semantically erroneous descriptions that diverge from original model behaviors. In this paper, we propose a novel process translator named BePT (Behavior-based Process Translator) based on the encoder-decoder paradigm, encoding a process model into a middle representation and decoding the representation into NL descriptions. Our theoretical analysis demonstrates that BePT satisfies behavior correctness, behavior completeness and description minimality. The qualitative and quantitative experiments show that BePT outperforms the state-of-the-art baselines.
AB - Sharing process models on the web has emerged as a common practice. Users can collect and share their experimental process models with others. However, some users always feel confused about the shared process models for lack of necessary guidelines or instructions. Therefore, several process translators have been proposed to explain the semantics of process models in natural language (NL). We find that previous studies suffer from information loss and generate semantically erroneous descriptions that diverge from original model behaviors. In this paper, we propose a novel process translator named BePT (Behavior-based Process Translator) based on the encoder-decoder paradigm, encoding a process model into a middle representation and decoding the representation into NL descriptions. Our theoretical analysis demonstrates that BePT satisfies behavior correctness, behavior completeness and description minimality. The qualitative and quantitative experiments show that BePT outperforms the state-of-the-art baselines.
UR - http://www.scopus.com/inward/record.url?scp=85075431955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075431955&partnerID=8YFLogxK
U2 - 10.1145/3357384.3357882
DO - 10.1145/3357384.3357882
M3 - Conference contribution
AN - SCOPUS:85075431955
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 1873
EP - 1882
BT - CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 3 November 2019 through 7 November 2019
ER -