Constrained Decoding for Neural NLG from Compositional Representations
in Task-Oriented Dialogue

Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue

17 June 2019

Anusha Balakrishnan

Kartikeya Upasani

Papers citing "Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue"

12 / 12 papers shown

Title
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users? Zhiqiang Hu Roy Ka-Wei Lee Nancy F. Chen 32 4 0 24 Oct 2022
Why is constrained neural language generation particularly challenging? Cristina Garbacea Qiaozhu Mei 59 14 0 11 Jun 2022
Neural Pipeline for Zero-Shot Data-to-Text Generation Zdeněk Kasner Ondrej Dusek 16 33 0 30 Mar 2022
Survey of Hallucination in Natural Language Generation Ziwei Ji Nayeon Lee Rita Frieske Tiezheng Yu D. Su ... Delong Chen Wenliang Dai Ho Shu Chan Andrea Madotto Pascale Fung HILM LRM 44 2,232 0 08 Feb 2022
Improving Compositional Generalization with Self-Training for Data-to-Text Generation Sanket Vaibhav Mehta J. Rao Yi Tay Mihir Kale Ankur P. Parikh Emma Strubell AI4CE 36 30 0 16 Oct 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey Jinjie Ni Tom Young Vlad Pandelea Fuzhao Xue Erik Cambria 54 267 0 10 May 2021
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation Tianyu Liu Yizhe Zhang Chris Brockett Yi Mao Zhifang Sui Weizhu Chen W. Dolan HILM 219 143 0 18 Apr 2021
Learning to Reason for Text Generation from Scientific Tables N. Moosavi Andreas Rucklé Dan Roth Iryna Gurevych LMTD LRM 16 20 0 16 Apr 2021
Structural Information Preserving for Graph-to-Text Generation Linfeng Song Ante Wang Jinsong Su Yue Zhang Kun Xu Yubin Ge Dong Yu 16 52 0 12 Feb 2021
Transforming Multi-Conditioned Generation from Meaning Representation Joosung Lee 11 3 0 12 Jan 2021
A Generative Model for Joint Natural Language Understanding and Generation Bo-Hsiang Tseng Jianpeng Cheng Yimai Fang David Vandyke 16 22 0 12 Jun 2020
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge Ondrej Dusek Jekaterina Novikova Verena Rieser ELM 32 231 0 23 Jan 2019