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Dialogue State Tracking with Explicit Slot Connection Modeling

Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang, Jiajun CHEN
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
To handle these phenomena, we propose a Dialogue State Tracking with Slot Connections (DST-SC) model to explicitly consider slot correlations across different domains.  ...  Experimental results verify the benefits of explicit slot connection modeling, and our model achieves state-of-the-art performance on Mul-tiWOZ 2.0 and MultiWOZ 2.1 datasets.  ...  We propose a novel dialogue state tracking model DST-SC, which equips with the slot connecting mechanism to build slot connections across domains.  ... 
doi:10.18653/v1/2020.acl-main.5 fatcat:dehxg4nfzrbfvgj5yequ7rgbrm

Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems [article]

Rahul Goel, Shachi Paul, Tagyoung Chung, Jeremie Lecomte, Arindam Mandal, Dilek Hakkani-Tur
2018 arXiv   pre-print
We evaluate our framework using the widely used dialogue state tracking challenge data set (DSTC2) and show that our framework yields competitive results with other state-of-the-art results despite incorporating  ...  Furthermore, it enables adding arbitrary dialogue context as features and allows for multiple values to be associated with a single state variable.  ...  This will relax the n-gram restriction and allow us to handle slot values of arbitrary length However, ultimately, we would like our system to move away with explicit state tracking and use such a system  ... 
arXiv:1811.12891v1 fatcat:3sixlvuivnen7ihuapt6mlepqi

The SPPD System for Schema Guided Dialogue State Tracking Challenge [article]

Miao Li, Haoqi Xiong, Yunbo Cao
2020 arXiv   pre-print
We propose a zero-shot dialogue state tracking system for this task.  ...  This challenge, named as Track 4 in DSTC8, provides a brand new and challenging dataset for developing scalable multi-domain dialogue state tracking algorithms for real world dialogue systems.  ...  The second status is active with explicit value (S = "Dontcare or S = V m ), and slot value pair will be used to update the dialogue state.  ... 
arXiv:2006.09035v1 fatcat:khqmburmrbbtldl45cltlpovju

Neural Dialogue State Tracking with Temporally Expressive Networks [article]

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020 arXiv   pre-print
Dialogue state tracking (DST) is an important part of a spoken dialogue system.  ...  Existing DST models either ignore temporal feature dependencies across dialogue turns or fail to explicitly model temporal state dependencies in a dialogue.  ...  Z191100008619007) and by the State Key Laboratory of Software Development Environment (No. SKLSDE-2020ZX-14).  ... 
arXiv:2009.07615v2 fatcat:j5budc2rarht3fnkpe4bi3uhjm

Slot Self-Attentive Dialogue State Tracking

Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
2021 Proceedings of the Web Conference 2021  
Dialogue State Tracking with Explicit Slot Connection Model- arXiv:1910.03544 (2019). ing.  ...  Slot Values in Dialogue State Tracking.  ... 
doi:10.1145/3442381.3449939 fatcat:rv2fqzystrblfjmjfs56xul2ry

Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking [article]

Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang, Yixuan Liu
2022 arXiv   pre-print
In dialogue state tracking, dialogue history is a crucial material, and its utilization varies between different models.  ...  However, no matter how the dialogue history is used, each existing model uses its own consistent dialogue history during the entire state tracking process, regardless of which slot is updated.  ...  For slot S j , the slot name is straightforward explicit information. Therefore, the correlation with the slot name directly reflects the importance of the dialogue turn.  ... 
arXiv:2205.10059v1 fatcat:dcbjc7t4c5adfle5q33ihi2mna

A Frame Tracking Model for Memory-Enhanced Dialogue Systems

Hannes Schulz, Jeremie Zumer, Layla El Asri, Shikhar Sharma
2017 Proceedings of the 2nd Workshop on Representation Learning for NLP  
Recently, resources and tasks were proposed to go beyond state tracking in dialogue systems.  ...  This paper proposes a model which takes as input the list of frames created so far during the dialogue, the current user utterance as well as the dialogue acts, slot types, and slot values associated with  ...  Recently, several approaches to state tracking have attempted to model more complex behaviors than sequential slot-filling.  ... 
doi:10.18653/v1/w17-2626 dblp:conf/rep4nlp/SchulzZAS17 fatcat:t5juhtjvyrf7pl36oibcvmhsbi

A Frame Tracking Model for Memory-Enhanced Dialogue Systems [article]

Hannes Schulz, Jeremie Zumer, Layla El Asri, Shikhar Sharma
2017 arXiv   pre-print
Recently, resources and tasks were proposed to go beyond state tracking in dialogue systems.  ...  This paper proposes a model which takes as input the list of frames created so far during the dialogue, the current user utterance as well as the dialogue acts, slot types, and slot values associated with  ...  Recently, several approaches to state tracking have attempted to model more complex behaviors than sequential slot-filling.  ... 
arXiv:1706.01690v1 fatcat:djcgbmzqlzewpi66yrnjj6ddbi

Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking [article]

Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang
2021 arXiv   pre-print
The goal of dialogue state tracking (DST) is to predict the current dialogue state given all previous dialogue contexts.  ...  turn dialogue utterances; (2) if a slot value with high reliability can be obtained for it through the current turn dialogue.  ...  The model utilizes the hybrid method for slot value generation, so it is universal and scalable to unseen domains, slots, and values. The experimental results can be expected to generalize.  ... 
arXiv:2107.12578v1 fatcat:4idqjyudijayngwmyaww5e3aau

Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking [article]

Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne
2021 arXiv   pre-print
Dialogue State Tracking is central to multi-domain task-oriented dialogue systems, responsible for extracting information from user utterances.  ...  We report improvements in state tracking performance in MultiWOZ 2.0 against a strong GPT-2 baseline and investigate a simplified sparse training scenario in which DST models are trained only on session-level  ...  The code of this project is released on Github. 4 A Appendices A.1 Reproduction Details Dialogue state tracking performance reported in this paper are replications of published results for DSTQA* and  ... 
arXiv:2104.04466v3 fatcat:siudkvgp3vgjri52nhlgtjcdea

Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation [article]

Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu
2018 arXiv   pre-print
Classic 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 history to the response in current turn without explicit knowledge base querying.  ...  The dialogue state tracking is the core component of pipeline model. It helps with retrieving values from KB and generating accurate entities.  ... 
arXiv:1806.04441v1 fatcat:w7qvnqk6uzamviexm33fbb3djm

Alex: A Statistical Dialogue Systems Framework [chapter]

Filip Jurčíček, Ondřej Dušek, Ondřej Plátek, Lukáš Žilka
2014 Lecture Notes in Computer Science  
In PTI, users can interact with a dialogue system on the phone to find intra-and inter-city public transport connections and ask for weather forecast in a desired city.  ...  belief tracking.  ...  Dialogue Management Dialogue management in ADSF is split into two components: dialogue state tracking and dialogue policy.  ... 
doi:10.1007/978-3-319-10816-2_71 fatcat:obftddaotnh7hd4fjoz7jcbdzq

Multi-Domain Dialogue State Tracking based on State Graph [article]

Yan Zeng, Jian-Yun Nie
2020 arXiv   pre-print
We investigate the problem of multi-domain Dialogue State Tracking (DST) with open vocabulary, which aims to extract the state from the dialogue.  ...  In this paper, we propose to construct a dialogue state graph in which domains, slots and values from the previous dialogue state are connected properly.  ...  Introduction Dialogue state tracking (DST) is a core component in task-oriented dialogue systems.  ... 
arXiv:2010.11137v1 fatcat:xvahm3x4dfbg7dydlftuhdn3n4

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation [article]

Liliang Ren, Jianmo Ni, Julian McAuley
2019 arXiv   pre-print
Experiments on both the multi-domain and the single domain dialogue state tracking dataset show that our model not only scales easily with the increasing number of pre-defined domains and slots but also  ...  Existing approaches to dialogue state tracking rely on pre-defined ontologies consisting of a set of all possible slot types and values.  ...  ., 2019) formulate the dialogue state tracking task as a reading comprehension problem by asking slot specified questions to the BERT model and find the answer span in the dialogue history for each of  ... 
arXiv:1909.00754v2 fatcat:uxsrbfh6jrefnktizmihtsdeh4

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

Liliang Ren, Jianmo Ni, Julian McAuley
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)  
Experiments on both the multidomain and the single domain dialogue state tracking dataset show that our model not only scales easily with the increasing number of pre-defined domains and slots but also  ...  Existing approaches to dialogue state tracking rely on pre-defined ontologies consisting of a set of all possible slot types and values.  ...  ., 2019) formulate the dialogue state tracking task as a reading comprehension problem by asking slot specified questions to the BERT model and find the answer span in the dialogue history for each of  ... 
doi:10.18653/v1/d19-1196 dblp:conf/emnlp/RenNM19 fatcat:rtyaahr37rfzrhvospdtwloqbu
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