Goal-Oriented Dialog
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Benchmarks
Kvret
Most implemented
Learning End-to-End Goal-Oriented Dialog
Sequential Attention-based Network for Noetic End-to-End Response Selection
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Efficient Dialog Policy Learning via Positive Memory Retention
Papers
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Dialog Structure Induction (DSI) is the task of inferring the latent dialog structure (i.e., a set of dialog states and their temporal transitions) of a given goal-oriented dialog. It is a critical component for modern d…
Domain GeneralizationFew-Shot LearningGoal-Oriented DialogGeneralized zero-shot audio-to-intent classification
Spoken language understanding systems using audio-only data are gaining popularity, yet their ability to handle unseen intents remains limited. In this study, we propose a generalized zero-shot audio-to-intent classifica…
ClassificationGoal-Oriented Dialogintent-classificationIntent Classification+4CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data. To better solve the above problems, we propose CGoDial, new challenging and comprehensive …
Goal-Oriented DialogRetrievalImproving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model
In this paper, we mainly discuss about our submission to MultiDoc2Dial task, which aims to model the goal-oriented dialogues grounded in multiple documents. The proposed task is split into grounding span prediction and a…
Goal-Oriented DialogLanguage ModelingLanguage ModellingMulti-Task Learning+4Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
The rapidly growing market demand for automatic dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems. The success of the…
AttributeGoal-Oriented DialogExploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Intent Detection is one of the core tasks of dialog systems. Few-shot Intent Detection is challenging due to limited number of annotated utterances for novel classes. Generalized Few-shot intent detection is more realist…
Few-Shot LearningGeneralized Few-Shot LearningGoal-Oriented DialogIntent Detection+3