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XL-NBT: A Cross-lingual Neural Belief Tracking Framework
[article]
2018
arXiv
pre-print
In order to bypass the expensive human annotation and achieve the first step towards the ultimate goal of building a universal dialog system, we set out to build a cross-lingual state tracking framework ...
Specifically, we assume that there exists a source language with dialog belief tracking annotations while the target languages have no annotated dialog data of any form. ...
We are also very thankful for the public belief tracking code and multilingual state-tracking datasets released by Nikola Mrksic from the University of Cambridge. ...
arXiv:1808.06244v2
fatcat:ousmc2ltlndrvjyx73l6rbpdva
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
In order to bypass the expensive human annotation and achieve the first step towards the ultimate goal of building a universal dialog system, we set out to build a cross-lingual state tracking framework ...
Specifically, we assume that there exists a source language with dialog belief tracking annotations while the target languages have no annotated dialog data of any form. ...
We are also very thankful for the public belief tracking code and multilingual state-tracking datasets released by Nikola Mrksic from the University of Cambridge. ...
doi:10.18653/v1/d18-1038
dblp:conf/emnlp/ChenCSWYYW18
fatcat:6r6bo2ezbbe5hjymr7aos3igu4
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Finally, with very few word pairs, our model achieves significant zero-shot adaptation performance improvements in both cross-lingual dialogue state tracking and natural language understanding (i.e., intent ...
In order to circumvent the expensive and time-consuming data collection, we introduce Attention-Informed Mixed-Language Training (MLT), a novel zero-shot adaptation method for cross-lingual task-oriented ...
Chen et al. (2018) proposed a teacher-student framework for cross-lingual neural belief tracking (i.e., dialogue state tracking) by leveraging a bilingual corpus or bilingual dictionary. ...
doi:10.1609/aaai.v34i05.6362
fatcat:h322k7c6zfa5rnfy2g5vnxs2pe
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
[article]
2019
arXiv
pre-print
Finally, with very few word pairs, our model achieves significant zero-shot adaptation performance improvements in both cross-lingual dialogue state tracking and natural language understanding (i.e., intent ...
In order to circumvent the expensive and time-consuming data collection, we introduce Attention-Informed Mixed-Language Training (MLT), a novel zero-shot adaptation method for cross-lingual task-oriented ...
Chen et al. (2018) proposed a teacher-student framework for cross-lingual neural belief tracking (i.e., dialogue state tracking) by leveraging a bilingual corpus or bilingual dictionary. ...
arXiv:1911.09273v1
fatcat:bazx4femujbntnwgb4j6bjmfxm
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems
[article]
2022
arXiv
pre-print
Hence, state-of-the-art approaches to multilingual ToD mostly rely on (zero- or few-shot) cross-lingual transfer from resource-rich languages (almost exclusively English), either by means of machine translation ...
In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent to complete a concrete task. ...
The Neural Belief Tracker (NBT; ) is a DST model that updates its internal representation of the state of a conversation at every dialogue turn in a fully data-driven fashion. ...
arXiv:2104.08570v3
fatcat:a6vfgcvgqvhllfkgfwcr3mptgq
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems
2022
The Journal of Artificial Intelligence Research
Hence, state-of-the-art approaches to multilingual ToD mostly rely on (zero- or few-shot) cross-lingual transfer from resource-rich languages (almost exclusively English), either by means of (i) machine ...
In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent with the aim of completing a concrete task. ...
The Neural Belief Tracker (NBT; ) is a DST model that updates its internal representation of the state of a conversation at every dialogue turn in a fully data-driven fashion. ...
doi:10.1613/jair.1.13083
fatcat:54a6w62wxvbvvigh32zkmtwwqq