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Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage
  HPSG: A Case Study on Machine Translation

Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation

6 September 2018
Johnny Tian-Zheng Wei
Khiem Pham
Brian Dillon
Brendan O'Connor
ArXiv (abs)PDFHTML

Papers citing "Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation"

2 / 2 papers shown
Title
RuCoLA: Russian Corpus of Linguistic Acceptability
RuCoLA: Russian Corpus of Linguistic Acceptability
Vladislav Mikhailov
T. Shamardina
Max Ryabinin
A. Pestova
I. Smurov
Ekaterina Artemova
80
29
0
23 Oct 2022
Analyzing and Interpreting Neural Networks for NLP: A Report on the
  First BlackboxNLP Workshop
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
Afra Alishahi
Grzegorz Chrupała
Tal Linzen
NAIMILM
87
65
0
05 Apr 2019
1