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Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Ioannis Konstas
Srini Iyer
Mark Yatskar
Yejin Choi
Luke Zettlemoyer
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Papers citing "Neural AMR: Sequence-to-Sequence Models for Parsing and Generation"

5 / 5 papers shown
Title
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
Juri Opitz
Anette Frank
107
35
0
20 Aug 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
891
6,788
0
26 Sep 2016
AMR-to-text generation as a Traveling Salesman Problem
AMR-to-text generation as a Traveling Salesman Problem
Linfeng Song
Yue Zhang
Xiaochang Peng
Zhiguo Wang
D. Gildea
OT
32
33
0
23 Sep 2016
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
243
2,716
0
20 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
374
7,959
0
17 Aug 2015

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