Task Oriented Dialogue System
Related Papers
A Network-based End-to-End Trainable Task-oriented Dialogue System
AbstractTeaching machines to accomplish tasks by conversing naturally with humans is challenging. Currently, developing task-oriented dialogue systems requires creating multiple components and typically this involves either a large amount of …...
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
AbstractIn this paper, we study the problem of data augmentation for language understanding in task-oriented dialogue system. In contrast to previous work which augments an utterance without considering its relation …...
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation
AbstractClassic pipeline models for task-oriented dialogue system require explicit modeling the dialogue states and hand-crafted action spaces to query a domain-specific knowledge base. Conversely, sequence-to-sequence models learn to map dialogue …...
Adjusting Image Attributes of Localized Regions with Low-level Dialogue
AbstractNatural Language Image Editing (NLIE) aims to use natural language instructions to edit images. Since novices are inexperienced with image editing techniques, their instructions are often ambiguous and contain high-level …...
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
AbstractNatural Language Generation (NLG) is a key component in a task-oriented dialogue system, which converts the structured meaning representation (MR) to the natural language. For large-scale conversational systems, where it …...
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning
AbstractWhen a natural language generation (NLG) component is implemented in a real-world task-oriented dialogue system, it is necessary to generate not only natural utterances as learned on training data but …...
HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System
AbstractRecently, many task-oriented dialogue systems need to serve users in different languages. However, it is time-consuming to collect enough data of each language for training. Thus, zero-shot adaptation of cross-lingual …...
Japanese Named Entity Recognition from Automatic Speech Recognition Using Pre-trained Models
Japanese named entities extracted from auto- matic speech recognition frequently contain speech recognition errors and unknown named entities due to abbreviations and aliases. One possible solution to this problem of …...
Q-TOD: A Query-driven Task-oriented Dialogue System
AbstractExisting pipelined task-oriented dialogue systems usually have difficulties adapting to unseen domains, whereas end-to-end systems are plagued by large-scale knowledge bases in practice. In this paper, we introduce a novel …...
A Probabilistic Framework for Discovering New Intents
AbstractDiscovering new intents is of great significance for establishing the Task-Oriented Dialogue System. Most existing methods either cannot transfer prior knowledge contained in known intents or fall into the dilemma …...