TY - JOUR AU - Obuchowski, Aleksander AU - Lew, MichaƂ PY - 2020/04/03 Y2 - 2024/03/28 TI - Transformer-Capsule Model for Intent Detection (Student Abstract) JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 34 IS - 10 SE - Student Abstract Track DO - 10.1609/aaai.v34i10.7215 UR - https://ojs.aaai.org/index.php/AAAI/article/view/7215 SP - 13885-13886 AB - <p>Intent recognition is one of the most crucial tasks in NLU systems, which are nowadays especially important for designing intelligent conversation. We propose a novel approach to intent recognition which involves combining transformer architecture with capsule networks. Our results show that such architecture performs better than original capsule-NLU network implementations and achieves state-of-the-art results on datasets such as ATIS, AskUbuntu ,and WebApp.</p> ER -