Hard Non-Monotonic Attention for Character-Level Transduction

29 August 2018

Papers citing "Hard Non-Monotonic Attention for Character-Level Transduction"

13 / 13 papers shown

Title
Equivariant Transduction through Invariant Alignment Jennifer C. White Ryan Cotterell 19 4 0 22 Sep 2022
Inducing and Using Alignments for Transition-based AMR Parsing Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 39 27 0 03 May 2022
Searching for More Efficient Dynamic Programs Tim Vieira Ryan Cotterell Jason Eisner 31 3 0 14 Sep 2021
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 33 40 0 02 Sep 2021
Computational Morphology with Neural Network Approaches Ling Liu AI4CE 32 8 0 19 May 2021
A study of latent monotonic attention variants Albert Zeyer Ralf Schluter Hermann Ney 24 5 0 30 Mar 2021
Sequence-Level Mixed Sample Data Augmentation Demi Guo Yoon Kim Alexander M. Rush 25 98 0 18 Nov 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 29 58 0 22 Oct 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence Xiaoyu Shen Ernie Chang Hui Su Jie Zhou Dietrich Klakow 40 49 0 03 May 2020
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection Arya D. McCarthy Ekaterina Vylomova Shijie Wu Chaitanya Malaviya Lawrence Wolf-Sonkin ... Miikka Silfverberg Sabrina J. Mielke Jeffrey Heinz Ryan Cotterell Mans Hulden 38 112 0 25 Oct 2019
Sparse Sequence-to-Sequence Models Ben Peters Vlad Niculae André F. T. Martins TPM 27 209 0 14 May 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao Geoffrey Zweig 53 163 0 31 May 2015