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Intent Detection

12 papers with code ยท Natural Language Processing

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Cost-Based Goal Recognition Meets Deep Learning

22 Nov 2019

The ability to observe the effects of actions performed by others and to infer their intent, most likely goals, or course of action, is known as a plan or intention recognition cognitive capability and has long been one of the fundamental research challenges in AI.

INTENT DETECTION

Improving Robustness of Task Oriented Dialog Systems

12 Nov 2019

However, evaluating a model's robustness to these changes is harder for language since words are discrete and an automated change (e. g. adding `noise') to a query sometimes changes the meaning and thus labels of a query.

ADVERSARIAL ATTACK DATA AUGMENTATION INTENT DETECTION SENTENCE CLASSIFICATION

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

IJCNLP 2019

Despite the surging demands for multilingual task-oriented dialog systems (e. g., Alexa, Google Home), there has been less research done in multilingual or cross-lingual scenarios.

INTENT DETECTION SLOT FILLING

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification

CONLL 2019

Recognising dialogue acts (DA) is important for many natural language processing tasks such as dialogue generation and intention recognition.

DIALOGUE ACT CLASSIFICATION DIALOGUE GENERATION INTENT DETECTION

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

IJCNLP 2019

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

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

IJCNLP 2019

Despite the surging demands for multilingual task-oriented dialog systems (e. g., Alexa, Google Home), there has been less research done in multilingual or cross-lingual scenarios.

INTENT DETECTION SLOT FILLING

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

IJCNLP 2019

In our framework, we adopt a joint model with Stack-Propagation which can directly use the intent information as input for slot filling, thus to capture the intent semantic knowledge.

INTENT DETECTION SLOT FILLING SPOKEN LANGUAGE UNDERSTANDING

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

IJCNLP 2019

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

INTENT DETECTION

Incremental Online Spoken Language Understanding

23 Oct 2019

Spoken Language Understanding (SLU) typically comprises of an automatic speech recognition (ASR) followed by a natural language understanding (NLU) module.

INTENT CLASSIFICATION INTENT DETECTION SPEECH RECOGNITION SPOKEN LANGUAGE UNDERSTANDING

Risk-Aware Reasoning for Autonomous Vehicles

6 Oct 2019

Third, a planning subsystem that takes into account the uncertainty, from perception and intention recognition subsystems, and propagates all the way to control policies that explicitly bound the risk of collision.

AUTONOMOUS VEHICLES INTENT DETECTION