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Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
[article]
2018
arXiv
pre-print
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Dialogue management (DM) decides the next action of a dialogue system according to the current dialogue state, and thus plays a central role in task-oriented dialogue systems. ...
To this end, we propose a novel Memory-Augmented Dialogue management model (MAD) which employs a memory controller and two additional memory structures, i.e., a slot-value memory and an external memory ...
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems 1 INTRODUCTION Task-oriented dialogue systems offer a natural and effective interface for users to seek information and complete ...
arXiv:1805.00150v1
fatcat:ukywikfwindxheul7dams6ktty
Recent Progress in Conversational AI
[article]
2022
arXiv
pre-print
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With the fast development of neural network-based models, a lot of neural-based conversational AI system are developed. ...
end2end Task-oriented system For the end-to-end networks, there are two prominent categories. The first category [4, 8, 54] is mainly based on the Memory Network [memory] . ...
RL-based method and Task-oriented system In recent research works, task-oriented dialog system has been modeled as a reinforcement learning system. ...
arXiv:2204.09719v1
fatcat:lf7g4enbsfc2rona3ki3cuwsua
Learning to Memorize in Neural Task-Oriented Dialogue Systems
[article]
2019
arXiv
pre-print
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In this thesis, we leverage the neural copy mechanism and memory-augmented neural networks (MANNs) to address existing challenge of neural task-oriented dialogue learning. ...
We show the effectiveness of our strategy by achieving good performance in multi-domain dialogue state tracking, retrieval-based dialogue systems, and generation-based dialogue systems. ...
Table 1 . 1 1: Dialogue examples for chit-chat and task-oriented dialogue systems. Chit-Chat Dialogue Systems
Task-oriented Dialogue Systems
System
Hello, how are you today? ...
arXiv:1905.07687v1
fatcat:upvqqczyajdtnf45bcszxs6nai
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
[article]
2019
arXiv
pre-print
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end-to-end task-oriented dialogue generation systems yet. ...
In this study, we apply these models on the three different datasets for training task-oriented chatbots. ...
Memory networks have been used in (Bordes et al., 2016) for training task-oriented agents in which they store dialogue context in the memory module, and then the model uses it to select a system response ...
arXiv:1909.05246v1
fatcat:lgebjf3fd5h6bdawkrhr6aewku
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
[article]
2022
arXiv
pre-print
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From the angle of system type, we discuss task-oriented and open-domain dialogue systems as two streams of research, providing insight into the hot topics related. ...
Furthermore, we comprehensively review the evaluation methods and datasets for dialogue systems to pave the way for future research. ...
RL for task-oriented dialogue systems One common application of reinforcement learning in dialogue systems is the reinforced dialogue management in task-oriented systems. ...
arXiv:2105.04387v5
fatcat:yd3gqg45rjgzxbiwfdlcvf3pye
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
[article]
2019
arXiv
pre-print
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End-to-end task-oriented dialogue is challenging since knowledge bases are usually large, dynamic and hard to incorporate into a learning framework. ...
Next, it passes the global memory pointer to filter the external knowledge for relevant information, then instantiates the slots via the local memory pointers. ...
Figure 1 : 1 The proposed (a) global-to-local memory pointer networks for task-oriented dialogue systems and the (b) external knowledge architecture. ...
arXiv:1901.04713v2
fatcat:7tyiqoslnfdlhf43a63mjv7ihe
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems
[article]
2021
arXiv
pre-print
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Incorporating knowledge bases (KB) into end-to-end task-oriented dialogue systems is challenging, since it requires to properly represent the entity of KB, which is associated with its KB context and dialogue ...
To achieve this, we propose a COntext-aware Memory Enhanced Transformer framework (COMET), which treats the KB as a sequence and leverages a novel Memory Mask to enforce the entity to only focus on its ...
Acknowledgements We would like to thank the anonymous reviewers for their valuable comments. ...
arXiv:2010.05740v4
fatcat:f2njl7uhrjhfnafngtbifvalue
Learning to Control Latent Representations for Few-Shot Learning of Named Entities
[article]
2019
arXiv
pre-print
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We experimentally show that our system obtains accurate results for few-shot learning of entity recognition in the Stanford Task-Oriented Dialogue dataset. ...
Here, we address this scenario by introducing an RL trainable controller that disentangles the representation learning of a neural encoder from its memory management role. ...
in the Stanford Task-Oriented Dialogue dataset. ...
arXiv:1911.08542v1
fatcat:sakqs7lmsze6vpvwezkz3pml5q
Key-Value Retrieval Networks for Task-Oriented Dialogue
[article]
2017
arXiv
pre-print
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Neural task-oriented dialogue systems often struggle to smoothly interface with a knowledge base. ...
We also release a new dataset of 3,031 dialogues that are grounded through underlying knowledge bases and span three distinct tasks in the in-car personal assistant space: calendar scheduling, weather ...
Acknowledgments The authors wish to thank He He, Peng Qi, Urvashi Khandelwal, and Reid Pryzant for their valuable feedback and insights. ...
arXiv:1705.05414v2
fatcat:h4d3aoforzdgdbhix2bqc3rdlm
Key-Value Retrieval Networks for Task-Oriented Dialogue
2017
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
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Neural task-oriented dialogue systems often struggle to smoothly interface with a knowledge base. ...
We also release a new dataset of 3,031 dialogues that are grounded through underlying knowledge bases and span three distinct tasks in the in-car personal assistant space: calendar scheduling, weather ...
Acknowledgments The authors wish to thank He He, Peng Qi, Urvashi Khandelwal, and Reid Pryzant for their valuable feedback and insights. ...
doi:10.18653/v1/w17-5506
dblp:conf/sigdial/EricKCM17
fatcat:fglbnktosjdrvpd2xdlgn6gh4m
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System
[article]
2022
arXiv
pre-print
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Within such complex frameworks, Spoken Dialogue Systems (SDS) are crucial building blocks to handle efficient task-oriented communication with children in game-based learning settings. ...
We are working towards a multimodal dialogue system for younger kids learning basic math concepts. ...
The authors are also immensely grateful to the Intel Labs KAIU team, specifically Nagib Hakim, Ezequiel Lanza, and Gadi Singer, for their feedback and support on entity annotation tasks in collaboration ...
arXiv:2205.04006v1
fatcat:folvts7gjzgetjxqpppnimwzw4
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
[article]
2019
arXiv
pre-print
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Querying the knowledge base (KB) has long been a challenge in the end-to-end task-oriented dialogue system. ...
Experiments on two publicly available task oriented dialog datasets show the effectiveness of our model by outperforming the baseline systems and producing entity-consistent responses. ...
Acknowledgments We thank the anonymous reviewers for their helpful comments and suggestions. ...
arXiv:1909.06762v2
fatcat:uq55owghu5dirbg64uazityz7y
A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
[article]
2021
arXiv
pre-print
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Inspired by the traditional template-based generation approaches, we propose a template-guided hybrid pointer network for the knowledge-based task-oriented dialogue system, which retrieves several potentially ...
Most existing neural network based task-oriented dialogue systems follow encoder-decoder paradigm, where the decoder purely depends on the source texts to generate a sequence of words, usually suffering ...
Tasks 3-4 verify if the model can leverage the KB tuples for the task-oriented dialog system. Tasks 5 combines Tasks 1-4 to produce full dialogs. ...
arXiv:2106.05830v1
fatcat:lfmfcsebejauff46dw267t5m5e
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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The file type is application/pdf.
Experiments on two publicly available task oriented dialog datasets show the effectiveness of our model by outperforming the baseline systems and producing entity-consistent responses. ...
Querying the knowledge base (KB) has long been a challenge in the end-to-end taskoriented dialogue system. ...
Acknowledgments We thank the anonymous reviewers for their helpful comments and suggestions. ...
doi:10.18653/v1/d19-1013
dblp:conf/emnlp/QinLCWLL19
fatcat:sqk2wqv6vrd3fb6foil22pmojq
A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
[article]
2020
arXiv
pre-print
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Dialog State Tracking (DST) is one of the most crucial modules for goal-oriented dialogue systems. ...
In this paper, we introduce FastSGT (Fast Schema Guided Tracker), a fast and robust BERT-based model for state tracking in goal-oriented dialogue systems. ...
INTRODUCTION Goal-oriented dialogue systems is a category of dialogue systems designed to solve one or multiple specific goals or tasks (e.g. flight reservation, hotel reservation, food ordering, appointment ...
arXiv:2008.12335v1
fatcat:yuak324nhzeeppsv74zms6pusi
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