@inproceedings{xuan-2020-improving,
title = "Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog",
author = "Xuan, Chaoting",
editor = "Bogin, Ben and
Iyer, Srinivasan and
Lin, Xi Victoria and
Radev, Dragomir and
Suhr, Alane and
{Panupong} and
Xiong, Caiming and
Yin, Pengcheng and
Yu, Tao and
Zhang, Rui and
Zhong, Victor",
booktitle = "Proceedings of the First Workshop on Interactive and Executable Semantic Parsing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.intexsempar-1.3",
doi = "10.18653/v1/2020.intexsempar-1.3",
pages = "18--22",
abstract = "Task Oriented Parsing (TOP) attempts to map utterances to compositional requests, including multiple intents and their slots. Previous work focus on a tree-based hierarchical meaning representation, and applying constituency parsing techniques to address TOP. In this paper, we propose a new format of meaning representation that is more compact and amenable to sequence-to-sequence (seq-to-seq) models. A simple copy-augmented seq-to-seq parser is built and evaluated over a public TOP dataset, resulting in 3.44{\%} improvement over prior best seq-to-seq parser (exact match accuracy), which is also comparable to constituency parsers{'} performance.",
}
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%0 Conference Proceedings
%T Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog
%A Xuan, Chaoting
%Y Bogin, Ben
%Y Iyer, Srinivasan
%Y Lin, Xi Victoria
%Y Radev, Dragomir
%Y Suhr, Alane
%Y Xiong, Caiming
%Y Yin, Pengcheng
%Y Yu, Tao
%Y Zhang, Rui
%Y Zhong, Victor
%E Panupong
%S Proceedings of the First Workshop on Interactive and Executable Semantic Parsing
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F xuan-2020-improving
%X Task Oriented Parsing (TOP) attempts to map utterances to compositional requests, including multiple intents and their slots. Previous work focus on a tree-based hierarchical meaning representation, and applying constituency parsing techniques to address TOP. In this paper, we propose a new format of meaning representation that is more compact and amenable to sequence-to-sequence (seq-to-seq) models. A simple copy-augmented seq-to-seq parser is built and evaluated over a public TOP dataset, resulting in 3.44% improvement over prior best seq-to-seq parser (exact match accuracy), which is also comparable to constituency parsers’ performance.
%R 10.18653/v1/2020.intexsempar-1.3
%U https://aclanthology.org/2020.intexsempar-1.3
%U https://doi.org/10.18653/v1/2020.intexsempar-1.3
%P 18-22
Markdown (Informal)
[Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog](https://aclanthology.org/2020.intexsempar-1.3) (Xuan, intexsempar 2020)
ACL