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Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems [article]

Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, Ming Zhang
2016 arXiv   pre-print
In this paper, we propose a novel ensemble of retrieval-based and generation-based dialog systems in the open domain.  ...  Contrary to rule- or template-based domain-specific dialog systems, open-domain conversation usually requires data-driven approaches, which can be roughly divided into two categories: retrieval-based and  ...  As shown, the retrieval system, which our model ensemble is based on, achieves better performance than RNN-based sequence generation.  ... 
arXiv:1610.07149v1 fatcat:tp7gmisrmbhjfj62fn5qyej2ca

Multi-Granularity Representations of Dialog

Shikib Mehri, Maxine Eskenazi
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)  
Neural models of dialog rely on generalized latent representations of language.  ...  Strong performance gains are observed on the next utterance retrieval task using both the MultiWOZ dataset and the Ubuntu dialog corpus.  ...  Results show that MGT obtains better performance than ensembling (Perrone and Cooper, 1992) multiple baseline mod-els.  ... 
doi:10.18653/v1/d19-1184 dblp:conf/emnlp/MehriE19 fatcat:zgtwwapngrhpvcsk46b526kycy

A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models [article]

Weijie Zhang, Jiaoxuan Chen, Haipang Wu, Sanhui Wan, Gongfeng Li
2021 arXiv   pre-print
Specifically, we divided the task into four sub-tasks and fine-tuned several Transformer models on each of the sub-tasks.  ...  We present a knowledge-grounded dialog system developed for the ninth Dialog System Technology Challenge (DSTC9) Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge  ...  Two separate models are trained to carry out the two-stage selection -firstly all domains and entities are ranked according to the matching score against the dialog history, secondly only the knowledge  ... 
arXiv:2106.14444v1 fatcat:2k3wagyjtvgubajzq6pqeqpjd4

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation [article]

Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan
2020 arXiv   pre-print
Existing dialogue systems generally derive from either retrieval-based or generative-based approaches, both of which have their own pros and cons.  ...  Despite the natural idea of an ensemble model of the two, existing ensemble methods only focused on leveraging one approach to enhance another, we argue however that they can be further mutually enhanced  ...  [18] proposed Multi-Seq2Seq model that focuses on leveraging responses generated by the retrieval-based dialog systems to enhance generation-based dialog systems, thus synthesizing a more informative  ... 
arXiv:2004.14592v1 fatcat:udkr33mowndafgubje4mmv3ox4

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems

Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
We propose a novel ensemble of retrieval-based and generation-based conversation system.  ...  Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems.  ...  Acknowledgments This paper is partially supported by the National Natural Science Foundation of China NSFC Grant (NSFC Grant Proceedings of the Twenty-Seventh International Joint Conference on Artificial  ... 
doi:10.24963/ijcai.2018/609 dblp:conf/ijcai/SongLNZZY18 fatcat:66bct74senavxkuewahbupcofi

A survey on construction and enhancement methods in service chatbots design

Zhenhui Peng, Xiaojuan Ma
2019 CCF Transactions on Pervasive Computing and Interaction  
We first introduce major techniques for the three core design philosophies, which are rule-based, retrieval-based and generation-based methods, followed by a brief summary of the evaluation metrics.  ...  Chatbots are being widely applied in many service industries to help schedule meetings, online shopping, restaurant reservations, customer care and so on.  ...  Dialogue Manager (DM), which tracks the dialog state based on past state, action and current user action, and outputs system action based on some policies; 3.  ... 
doi:10.1007/s42486-019-00012-3 fatcat:7rziovwwnbb6nmisunkgan7si4

A Survey on Dialogue Systems: Recent Advances and New Frontiers [article]

Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2018 arXiv   pre-print
In this article, we give an overview to these recent advances on dialogue systems from various perspectives and discuss some possible research directions.  ...  Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been employed to enhance a wide range of big data applications such as computer vision, natural  ...  In an ensemble model, the retrieved candidate, along with the original message, are fed to an RNN-based response generator. The final response is given by a post-reranker.  ... 
arXiv:1711.01731v3 fatcat:6wuovcynqbhlzmuorchn4mn6ma

Multi-Granularity Representations of Dialog [article]

Shikib Mehri, Maxine Eskenazi
2019 arXiv   pre-print
Neural models of dialog rely on generalized latent representations of language.  ...  Strong performance gains are observed on the next utterance retrieval task using both the MultiWOZ dataset and the Ubuntu dialog corpus.  ...  Results show that MGT obtains better performance than ensembling (Perrone and Cooper, 1992) multiple baseline models.  ... 
arXiv:1908.09890v1 fatcat:fm2pakzxkbcirfpeo5lf6iujiq

Dual Attention Networks for Visual Reference Resolution in Visual Dialog

Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang
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)  
DAN consists of two kinds of attention modules, REFER and FIND.  ...  Visual dialog (VisDial) is a task which requires a dialog agent to answer a series of questions grounded in an image.  ...  Acknowledgements The authors would like to thank Woosuk Choi, Seunghee Yang, Junseok Park, and Delilah Hollweg for helpful comments and editing.  ... 
doi:10.18653/v1/d19-1209 dblp:conf/emnlp/KangLZ19 fatcat:uaslz3bbhnam5kgytss3lajnsq

An Ensemble Approach to Conversation Generation [chapter]

Yimeng Zhuang, Xianliang Wang, Han Zhang, Jinghui Xie, Xuan Zhu
2018 Lecture Notes in Computer Science  
As an important step of human-computer interaction, conversion generation has attracted much attention and has a rising tendency  ...  In [9] , a novel ensemble of retrieval-based and generation-based dialog system is proposed and achieves good performance.  ...  Nowadays, two promising methods are retrieval-based system [5] [6] and generation-based system [7] [8] .  ... 
doi:10.1007/978-3-319-73618-1_5 fatcat:dyzqedljcfh3ddi2maqrao22oe

User Intent Prediction in Information-seeking Conversations

Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
First, we extract features based on the content, structural, and sentiment characteristics of a given utterance, and use classic machine learning methods to perform user intent prediction.  ...  In this paper, we investigate two aspects of user intent prediction in an information-seeking setting.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsor.  ... 
doi:10.1145/3295750.3298924 dblp:conf/chiir/Qu0CZTQ19 fatcat:mtgyzfi3drd7vkuje4s5y4oczy

RubyStar: A Non-Task-Oriented Mixture Model Dialog System [article]

Huiting Liu, Tao Lin, Hanfei Sun, Weijian Lin, Chih-Wei Chang, Teng Zhong, Alexander Rudnicky
2017 arXiv   pre-print
RubyStar conducts a non-task-oriented conversation on general topics by using an ensemble of rule-based, retrieval-based and generative methods.  ...  RubyStar is a dialog system designed to create "human-like" conversation by combining different response generation strategies.  ...  It's worth mentioning that at least two other Alexa Prize teams' systems also use an ensemble of rule-based, retrieval-based and neural-based generative methods.  ... 
arXiv:1711.02781v3 fatcat:orqlnnx46jamxngd2akuoun56y

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog [article]

Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
2019 arXiv   pre-print
In each step of the reasoning process, the semantic representation of the question is updated based on the image and the previous dialog history, and the recurrently-refined representation is used for  ...  This paper presents a new model for visual dialog, Recurrent Dual Attention Network (ReDAN), using multi-step reasoning to answer a series of questions about an image.  ...  dataset, where the dialogs provided are more goal-oriented and aimed at object discovery within an image, through a series of yes/no questions between two dialog agents.  ... 
arXiv:1902.00579v2 fatcat:mfoiesgitrdy7fsffciqckqabq

Natural Language Generation at Scale: A Case Study for Open Domain Question Answering

Alessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu Venkatesh, Dilek Hakkani-Tur, Raefer Gabriel
2019 Proceedings of the 12th International Conference on Natural Language Generation  
This work explores the feasibility of applying statistical NLG to scenarios requiring larger ontologies, such as multidomain dialog applications or open-domain question answering (QA) based on knowledge  ...  First, we investigate the impact of increasing the number of slot types on the generation quality and experiment with different partitions of the QA data with progressively larger ontologies (up to 369  ...  Figure 1 A shows an example of such an architecture using two encoders, one for slot types and one for slot values.  ... 
doi:10.18653/v1/w19-8657 dblp:conf/inlg/CervoneKGHVHG19 fatcat:ikc6in33rvd2fesr3khbnhtfdi

Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering

Unnat Jain, Alexander Schwing, Svetlana Lazebnik
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
In addition, for the first time on the visual dialog dataset, we assess the performance of a system asking questions, and demonstrate how visual dialog can be generated from discriminative question generation  ...  While we are still far from achieving this goal, recent progress in visual question answering, image captioning, and visual question generation shows that dialog systems may be realizable in the not too  ...  This material is based upon work supported in part by the National Science Foundation under Grants No. 1563727 and 1718221, and Samsung.  ... 
doi:10.1109/cvpr.2018.00603 dblp:conf/cvpr/JainLS18 fatcat:mnpwuso2hjfwnkmufkntv2f24a
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