@inproceedings{a8b37fce62e74ab5a795d10f5083b635,
title = "Context Knowledge-Aware Recognition of Composite Intents in Task-Oriented Human-Bot Conversations",
abstract = "Task-oriented dialogue systems employ third-party APIs to serve end-users via natural language interactions. while existing advances in Natural Language Processing (NLP) and Machine Learning (ML) techniques have produced promising and useful results to recognize user intents, the synthesis of API calls to support a broad range of potentially complex user intents is still largely a manual and costly process. In this paper, we propose a new approach to recognize and realize complex user intents. Our approach relies on a new rule-based technique that leverages both (i) natural language features extracted using existing NLP and ML techniques and (ii) contextual knowledge to capture the different classes of complex intents. We devise a context knowledge service to capture the requisite contextual knowledge.",
keywords = "Complex intent recognition, Context knowledge, Slot value inference, Task-oriented conversational bots",
author = "Sara Bouguelia and Hayet Brabra and Boualem Benatallah and Marcos Baez and Shayan Zamanirad and Hamamache Kheddouci",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022 ; Conference date: 06-06-2022 Through 10-06-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1007/978-3-031-07472-1\_14",
language = "English",
isbn = "9783031074714",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "237--252",
editor = "Xavier Franch and Geert Poels and Frederik Gailly and Monique Snoeck",
booktitle = "Advanced Information Systems Engineering - 34th International Conference, CAiSE 2022, Proceedings",
}