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Intent Detection

10 papers with code · Natural Language Processing

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Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

NAACL 2018 MiuLab/SlotGated-SLU

Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art performance, while they have independent attention weights.

INTENT DETECTION SLOT FILLING SPOKEN DIALOGUE SYSTEMS SPOKEN LANGUAGE UNDERSTANDING

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

6 Sep 2016DSKSD/RNN-for-Joint-NLU

Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition.

INTENT CLASSIFICATION INTENT DETECTION SLOT FILLING

Joint Slot Filling and Intent Detection via Capsule Neural Networks

ACL 2019 czhang99/Capsule-NLU

Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding.

INTENT DETECTION SLOT FILLING

Deep Unknown Intent Detection with Margin Loss

ACL 2019 thuiar/DeepUnkID

With margin loss, we can learn discriminative deep features by forcing the network to maximize inter-class variance and to minimize intra-class variance.

INTENT DETECTION

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

IJCNLP 2019 Adaxry/CM-Net

Spoken Language Understanding (SLU) mainly involves two tasks, intent detection and slot filling, which are generally modeled jointly in existing works.

INTENT DETECTION SLOT FILLING SPOKEN LANGUAGE UNDERSTANDING

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

CONLL 2018 swisscom/churn-intent-DE

To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.

CHATBOT INTENT DETECTION WORD EMBEDDINGS

Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

9 Oct 2019VRU-intention/casr

In this paper, we show how the same methodology can be used for recognizing pedestrians and cyclists' intentions.

AUTONOMOUS VEHICLES INTENT DETECTION POSE ESTIMATION

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts

IJCNLP 2019 karansikka1/documentIntent_emnlp19

Computing author intent from multimodal data like Instagram posts requires modeling a complex relationship between text and image.

INTENT DETECTION